Semgrep vs Snyk

Agent access

1. ai-native userPoint an agent at llms.txt or agent-oriented docs

   weight 2 · round drawn
   Semgrep✓fullprobed8/10

   Semgrep hosts a working llms.txt at docs.semgrep.dev/llms.txt (HTTP 200, confirmed by probe) plus per-page .md agent-friendly docs (e.g. semgrep-docs-49, semgrep-docs-50), showing an agent can be pointed directly at machine-readable docs. missing for 10: independent/community confirmation that agents actually consume this llms.txt successfully, and no evidence of a broader agent-oriented docs index beyond the single llms.txt file.

   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.semgrep.dev/llms.txt # Semgrep ## Home - [Semgrep Docs](https://docs.semgrep.dev/index.md): Get s…”
   • [claimed-docs] “scan your first project, which can be any codebase, repository, or folder within a monorepo, for security issues, and view your findings”
   • [claimed-docs] “You can run local Semgrep CLI scans with the Semgrep command-line tool.”
   • [probe] “official CLI documented at https://docs.semgrep.dev/getting-started/cli”

   proof ↗⚑ flag

   Snyk✓fullprobed8/10

   Snyk publishes an llms.txt file confirmed live via direct probe (HTTP 200) with structured docs navigation, and also maintains extensive agent-oriented documentation (MCP server setup, Snyk Studio, remediation agent) that an AI agent could be pointed at. missing for 10: no independent/community corroboration of agents actually consuming llms.txt in practice, and no evidence of additional agent-friendly formats (e.g., structured API schemas, since openapi.json probes 404).

   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.snyk.io/llms.txt # Snyk User Docs ## Discover Snyk - [Homepage](https://docs.snyk.io/readme.md): …”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
   • [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”

   proof ↗⚑ flag

2. ai-native userRun the product headlessly / in CI for automation

   weight 2 · round drawn
   Semgrep✓fullcommunity9/10

   Semgrep has a well-documented CLI (`semgrep ci`, `semgrep scan`) designed for headless/CI use, with dedicated CI provider integrations, pre-commit hooks, SARIF export, no-login/dry-run modes, and an API for programmatic access to findings—clearly supporting automated, non-interactive pipelines. Independent evidence (Zulip, Microsoft SARIF+LLM triage pipeline) confirms real-world CI/automation usage at scale. Missing for 10: no first-party benchmark of CI runtime performance at scale beyond anecdotal community complaints about slowness.

   • [claimed-docs] “navigate to the root of your project, and run your first scan: semgrep ci”
   • [claimed-docs] “This guide walks you through creating a Semgrep job in the following CI providers, which are explicitly supported in Semgrep AppSec Platform”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”
   • [claimed-docs] “Semgrep is integrated into CI environments by creating a **job** that is run by the CI provider. After a scan, findings are sent to Semgrep …”
   • [claimed-docs] “The pre-commit framework can run semgrep when you commit changes. This is helpful in preventing secrets and security issues from leaking int…”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”
   • [claimed-docs] “To export the results to a SARIF file: semgrep ci --sarif --sarif-output=semgrep.sarif”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [community] “Built a tool using Semgrep's SARIF output plus prompted LLMs to help prioritize triage; used at Microsoft for the past year to help surface …”
   • [community] “We've used Semgrep for Zulip's Python codebase for months and really appreciate the semantic checks, especially for security lint rules - it…”

   proof ↗⚑ flag

   Snyk✓fullprobed9/10

   Snyk CLI is explicitly documented to run locally, in IDEs, and in CI/CD pipelines, with dedicated CI/CD-oriented service account roles (cli-tester-role-template) that grant scoped permissions to run `snyk test`/`snyk monitor` in pipelines, plus headless commands across languages (snyk test, snyk code test, snyk iac test, snyk secrets test). Missing for 10: no explicit named CI plugin/integration docs (e.g., Jenkins/GitHub Actions specifics) or independent hands-on CI automation report beyond docs.

   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands.”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands. The role grants permissions to run `…”
   • [claimed-docs] “This Organization-level role blocks the use of `snyk monitor`.”
   • [claimed-docs] “To perform source code analysis, run `snyk code test` from the root of the Project.”
   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”
   • [probe] “official CLI documented at https://docs.snyk.io/developer-tools/snyk-cli/snyk-cli”

   proof ↗⚑ flag

3. ai-native userPlug MCP servers into this product so it can use their tools

   weight 3 · round drawn
   Semgrep—none0/10

   Evidence shows Semgrep exposes itself as an MCP server (semgrep-probe-3) so other agents can call its scanning tools, but there is no evidence that Semgrep itself can consume/plug in external MCP servers to use their tools — no client-side MCP integration is documented anywhere in the docs, CLI reference, or platform API pages.

   • [probe] “official MCP server documented at https://docs.semgrep.dev/mcp”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”

   proof ↗⚑ flag

   Snyk—none0/10

   Evidence describes Snyk exposing its own MCP server (snyk-docs-28) so external coding agents can call Snyk's tools, and Snyk Studio/Remediation Agent integrating with ADEs — this is Snyk acting as an MCP server/tool provider, not evidence that a user can plug additional external MCP servers into Snyk so its own agent can use their tools. No documentation shows Snyk consuming or configuring third-party MCP servers as a client.

   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”

   proof ↗⚑ flag

4. ai-native userConnect an agent via an official MCP server

   weight 3 · round to Snyk
   Semgrep✓fullprobed6/10

   Semgrep is not itself an agent, so a first-party MCP server for connecting external agents is a fair axis, and evidence confirms one exists at docs.semgrep.dev/mcp. However, the evidence pack only shows the URL's existence via a probe with no detail on the tools/capabilities exposed or independent corroboration. Missing for 10: detailed documentation of what MCP tools/resources are exposed, setup instructions, and independent/hands-on confirmation of usage.

   • [probe] “official MCP server documented at https://docs.semgrep.dev/mcp”

   proof ↗⚑ flag

   Snyk✓fullprobed8/10

   Snyk documents an official local MCP server (Snyk MCP Server, part of Snyk Studio) that agents can connect to for security scanning, corroborated by a probe confirming the official docs page, and usage examples like prompting coding agents with natural language and running /snyk-fix commands in the agent. Missing for 10: independent/hands-on third-party validation of the MCP server working reliably, and more detail on setup/configuration beyond docs snippets.

   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
   • [claimed-docs] “To validate the MCP server configuration, prompt your coding agent with natural language, for example, "scan my directory for security issue…”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”

   proof ↗⚑ flag

5. ai-native userUse an official CLI

   weight 2 · round drawn
   Semgrep✓fullprobed8/10

   Semgrep ships a well-documented, installable official CLI (pipx/uv install, `semgrep scan`/`semgrep ci`, SARIF export, autofix, dry-run, no-login mode) that is fully scriptable and thus usable by AI agents, and this is corroborated by community usage reports and a dedicated probe confirming the CLI docs page. Missing for 10: explicit documentation of machine-readable (e.g., JSON) output tailored for programmatic/agent consumption and independent evidence of AI agents specifically driving the CLI.

   • [claimed-docs] “pipx install semgrep # preferred: install through uv (https://docs.astral.sh/uv/) uv tool install semgrep”
   • [claimed-docs] “semgrep scan - This is the recommended command for scanning local codebases or scanning a project when you don't have a Semgrep account”
   • [claimed-docs] “navigate to the root of your project, and run your first scan: semgrep ci”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”
   • [claimed-docs] “To export the results to a SARIF file: semgrep ci --sarif --sarif-output=semgrep.sarif”
   • [probe] “official CLI documented at https://docs.semgrep.dev/getting-started/cli”
   • [community] “We've used Semgrep for Zulip's Python codebase for months and really appreciate the semantic checks, especially for security lint rules - it…”

   proof ↗⚑ flag

   Snyk✓fullprobed8/10

   Snyk ships an official, well-documented CLI (snyk/cli) supporting test, monitor, code test, secrets test, and fix --agentic commands, plus explicit AI-native integrations (MCP server, /snyk-fix slash commands, agentic remediation agent) confirming CLI usability in AI-native workflows. missing for 10: no independent/hands-on review specifically validating the CLI's AI-native agentic commands in production use.

   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [github] “To scan your source code, run `snyk code test`.”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
   • [probe] “official CLI documented at https://docs.snyk.io/developer-tools/snyk-cli/snyk-cli”
   • [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”

   proof ↗⚑ flag

6. ai-native userDrive the product through a documented public API

   weight 3 · round to Semgrep
   Semgrep~partialprobed6/10

   Semgrep AppSec Platform documents a public API for listing deployments, findings, and projects, and the CLI itself is scriptable for automation, but there is no OpenAPI/swagger spec discoverable (probe returned 404s on all candidate paths) and no independent/community corroboration of programmatic API usage. missing for 10: discoverable OpenAPI/schema documentation, broader API surface details (write operations, rate limits), and independent evidence of third-party integrations built against the API.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.semgrep.dev/openapi.json, https://docs.semgrep.dev/swagger.json, https://docs.semgrep.d…”

   proof ↗⚑ flag

   Snyk~partialprobed4/10

   Docs reference a Snyk API/Web product (e.g., running operations on targets, scans, and findings via identifiers or filters), implying a public API exists, but a direct probe for an OpenAPI/swagger spec returned 404s, and there is no dedicated API reference page cited in the evidence pack. This indicates some documented API surface but not a clearly published, comprehensive public API doc. missing for 10: a dedicated public API reference/OpenAPI spec, authentication/rate-limit docs, and independent confirmation of API usage.

   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”

   proof ↗⚑ flag

7. ai-native userIssue scoped/least-privilege API credentials for an agent

   weight 2 · round to Snyk
   Semgrep—none0/10

   Evidence shows Semgrep AppSec Platform has an API for listing deployments/findings/projects, but there is no mention of scoped or least-privilege API tokens/credentials designed for agent use, nor any granular permission/role system for API keys.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”

   proof ↗⚑ flag

   Snyk~partialclaimed4/10

   Snyk offers custom Organization-level role templates (e.g., 'CLI Tester' and 'Read-only CLI Tester') that grant service accounts in CI/CD pipelines only basic, limited permissions like running `snyk test`/`snyk monitor`, which is a form of least-privilege credentialing that could be applied to an automated/agent identity, and general RBAC is listed as a plan feature. However, there is no evidence of credentials or tokens explicitly scoped for an 'AI agent' persona, no mention of agent-specific API scopes, and no documentation tying these role templates to the MCP server or Remediation Agent workflows. Missing for 10: agent-specific scoped API token/credential issuance, documentation linking least-privilege roles to AI agent use cases, and any first-party guidance on securing agent access via limited-scope keys.

   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands.”
   • [claimed-docs] “This Organization-level role blocks the use of `snyk monitor`.”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands. The role grants permissions to run `…”
   • [claimed-docs] “Reporting dashboard – – ...Role-based access control”

   proof ↗⚑ flag

8. ai-native userBuild against official SDKs

   weight 2 · round to Snyk
   Semgrep—none0/10

   The evidence shows Semgrep offers a CLI, a REST API for the AppSec Platform, and an MCP server, but nowhere is an official client SDK (e.g., Python/JS/Go library for programmatic integration) documented or referenced.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.semgrep.dev/openapi.json, https://docs.semgrep.dev/swagger.json, https://docs.semgrep.d…”
   • [probe] “official CLI documented at https://docs.semgrep.dev/getting-started/cli”

   proof ↗⚑ flag

   Snyk~partialprobed3/10

   Snyk documents an SDK for writing custom IaC rules in Rego (install, parse, test, bundle, push) — a real official SDK, but narrowly scoped to IaC rule authoring rather than a general-purpose SDK for building AI-native integrations or agents against Snyk's platform/API. No official multi-language client SDKs for the core Snyk API/scanning capabilities are evidenced, and the OpenAPI spec probe returned 404s. Missing for 10: general-purpose language SDKs (Python/JS/Go) for the Snyk API, evidence of broader AI-native SDK usage beyond the niche IaC rules SDK, and independent corroboration of SDK adoption.

   • [claimed-docs] “Install the SDK using one of these options”
   • [claimed-docs] “The SDK helps you write, debug, test, bundle, and distribute custom rules written in Rego, which can then be used by the Snyk IaC CLI to fin…”
   • [claimed-docs] “Rules are written in Rego.”
   • [claimed-docs] “Snyk provides a `parse` command.”
   • [claimed-docs] “Add unit tests for the rules you have written to verify your rules.”
   • [claimed-docs] “Optionally, once you have generated your custom rules bundle, you can distribute it automatically to one of our supported OCI registries by …”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”

   proof ↗⚑ flag

9. ai-native userSubscribe to events via webhooks

   weight 2 · round drawn
   Semgrep—none0/10

   Evidence shows Semgrep provides a REST API for querying findings/deployments and CI-integration on push/PR events, but nothing describes a webhook subscription mechanism for events; no docs mention webhook endpoints or event-driven notifications to external systems.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”

   proof ↗⚑ flag

   Snyk—none0/10

   No evidence in the pack mentions webhooks or event subscription mechanisms; Snyk's integrations are covered via Jira/Slack partner integrations, Broker, MCP server, and CLI, but none describe a webhook subscription API for AI-native event consumption.

   ⚑ flag

Agentic features

1. ai-native userGet AI-generated insights and suggestions from my data inside the product

   weight 2 · round to Snyk
   Semgrep~partialcommunity6/10

   Semgrep Code's 'AI-Powered Detection' and 'Semgrep Assistant (AI)' features are documented as generating insights (identifying complex business-logic flaws like IDORs, reducing false-positive noise by ~20%, combining AI reasoning with rule-based analysis for triage/remediation), which matches the story of in-product AI-generated insights. However, independent corroboration is thin — the one relevant community datapoint (semgrep-comm-14) describes a third party building their own external LLM triage layer on top of Semgrep's SARIF output rather than validating Semgrep Assistant itself, and another (semgrep-comm-13) notes an LLM hallucinating semgrep syntax when asked to help write rules, which is tangential. missing for 10: independent/hands-on validation of Semgrep Assistant's own AI suggestions, more detail on scope/accuracy of AI-Powered Detection, and confirmation these AI features are broadly available rather than gated/beta.

   • [claimed-docs] “With AI-Powered Detection, you can automatically identify complex business logic flaws, such as IDORs and broken authorization.”
   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”
   • [claimed-docs] “Semgrep Code is transparent; you can configure the rules it runs and inspect its syntax to understand how the finding was detected.”
   • [community] “Built a tool using Semgrep's SARIF output plus prompted LLMs to help prioritize triage; used at Microsoft for the past year to help surface …”

   proof ↗⚑ flag

   Snyk~partialcommunity7/10

   Snyk documents multiple AI-driven insight/suggestion features—DeepCode AI's 85%-accurate autofixes and context-aware risk scoring, an LLM-driven Remediation Agent that generates and applies fix plans, and risk-based prioritization—directly surfaced in the product (IDE, CLI, coding assistants). However, independent community feedback specifically criticizes the quality of Snyk's automated fix/PR suggestions ('disappointed with their PR tools... ended up turning off their automated PRs'), tempering confidence in how well these AI-generated suggestions perform in practice. Missing for 10: independent hands-on validation of the newer DeepCode AI/Remediation Agent accuracy claims, and resolution of community concerns about suggestion quality.

   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “DeepCode AI powers 85%-accurate security autofixes and comprehensive app coverage, letting developers build fast while staying secure.”
   • [claimed-docs] “DeepCode AI supports Snyk’s context-aware risk scoring, assessing the popularity of the affected package and the reachability of vulnerable …”
   • [claimed-docs] “It scans your Project with Snyk, generates a fix plan enriched with Snyk security intelligence, applies the fixes, and verifies the result, …”
   • [claimed-docs] “Sort by and prioritize the more important issues by incorporating factors such as issue prevalence, ease of fix, and risk factor into a sing…”
   • [community] “I'm not convinced their tools are better than npm audit + a license checker package... I've been very disappointed with their PR tools, and …”

   proof ↗⚑ flag

2. ai-native userSet up automations that run autonomously in the background

   weight 2 · round to Snyk
   Semgrep~partialclaimed5/10

   Semgrep supports automation via CI triggers on push/PR events, pre-commit hooks, and bulk 'Managed Scans' that run without manual invocation, and it has an AI Assistant/AI-Powered Detection layer for triage — providing real background automation. However, this is rule-based scan automation, not an autonomous agent that independently plans/executes multi-step actions; there's no evidence of scheduled/cron-like agentic orchestration beyond scan-on-event triggers. Missing for 10: evidence of autonomous multi-step agentic decision-making, scheduling/orchestration beyond CI-triggered scans, and independent confirmation that AI-driven remediation runs unattended.

   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events, Pull requests or merge …”
   • [claimed-docs] “consider Semgrep Managed Scans, which enables you to bulk onboard and scan your repositories without requiring changes to your CI”
   • [claimed-docs] “The pre-commit framework can run semgrep when you commit changes. This is helpful in preventing secrets and security issues from leaking int…”
   • [claimed-docs] “The pre-commit framework can run `semgrep` when you commit changes. This is helpful in preventing secrets and security issues from leaking i…”
   • [claimed-docs] “With AI-Powered Detection, you can automatically identify complex business logic flaws, such as IDORs and broken authorization.”
   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk supports background automation via CI/CD pipeline integration (snyk test/monitor running unattended in pipelines) and an LLM-driven Remediation Agent that autonomously scans, plans, applies, and verifies fixes, plus `snyk monitor` for continuous project tracking. However, most agentic features (Remediation Agent, `snyk fix --agentic`, MCP server prompts) are explicitly framed as human-in-the-loop or invoked on-demand from an IDE/CLI/coding assistant rather than self-scheduling background jobs, and there is no evidence of a scheduler or fully unattended trigger system. Missing for 10: evidence of a scheduling/trigger mechanism for fully unattended runs, independent confirmation that the Remediation Agent operates without human prompts, and clarity that CI/CD scans qualify as 'autonomous' vs event-triggered.

   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”
   • [claimed-docs] “It scans your Project with Snyk, generates a fix plan enriched with Snyk security intelligence, applies the fixes, and verifies the result, …”
   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands. The role grants permissions to run `…”
   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”

   proof ↗⚑ flag

3. ai-native userDelegate tasks to a built-in AI assistant inside the product

   weight 3 · round to Snyk
   Semgrep~partialclaimed5/10

   Semgrep ships 'Semgrep Assistant', a built-in AI feature that performs AI-powered detection of complex logic flaws, contextual post-processing to reduce noise, and combines AI reasoning with rule-based analysis for detection/triage/remediation, which functions as a task-delegable AI assistant within the product. However, this is scoped to security triage/detection only, not a general-purpose conversational assistant, and there's no independent hands-on account confirming quality of delegation. Missing for 10: evidence of a general chat/agent interface for arbitrary task delegation, independent/hands-on validation of Assistant's outputs, and detail on how users interact with/invoke it beyond marketing copy.

   • [claimed-docs] “With AI-Powered Detection, you can automatically identify complex business logic flaws, such as IDORs and broken authorization.”
   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”
   • [claimed-docs] “Scan and fix AI-generated code the moment it's written”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”

   proof ↗⚑ flag

   Snyk~partialclaimed7/10

   Snyk documents an LLM-driven 'Remediation Agent' that users delegate remediation tasks to via `snyk fix --agentic` or slash commands in a coding assistant, and it scans, plans, applies, and verifies fixes autonomously — a genuine built-in AI agent. However, this agent operates largely through/inside external coding assistants and the Snyk CLI rather than as a fully self-contained in-product chat assistant, and there's no independent/hands-on corroboration of its reliability. Missing for 10: independent verification of the Remediation Agent's real-world performance, and clearer evidence of a native (non-third-party-assistant) chat/delegation interface within Snyk itself.

   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”
   • [claimed-docs] “It scans your Project with Snyk, generates a fix plan enriched with Snyk security intelligence, applies the fixes, and verifies the result, …”
   • [claimed-docs] “Run /snyk-fix in your coding assistant to scan the project and apply a fix for the top vulnerability.”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects.”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”

   proof ↗⚑ flag

4. ai-native userOperate the product with natural-language commands

   weight 2 · round to Snyk
   Semgrep~partialprobed3/10

   Semgrep is fundamentally a CLI/rule-based SAST tool; there's no documented natural-language command interface for the core product. The only relevant hook is a documented MCP server (semgrep-probe-3) which would let an AI agent invoke Semgrep via natural language, plus marketing mentions of 'AI reasoning' combined with rule-based detection (semgrep-docs-47/48), but no detail on what commands/actions are exposed or how they map from NL input. missing for 10: documented list of MCP tools/actions, evidence of actual natural-language command usage, hands-on confirmation that AI-native NL control works end-to-end.

   • [probe] “official MCP server documented at https://docs.semgrep.dev/mcp”
   • [claimed-docs] “Scan and fix AI-generated code the moment it's written”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”
   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”

   proof ↗⚑ flag

   Snyk✓fullprobed8/10

   Snyk documents an official MCP server plus Snyk Studio hooks for agentic IDEs, explicitly instructing users to prompt their coding agent in natural language (e.g. "scan my directory for security issues"), and supports slash commands like /snyk-fix and /snyk-batch-fix plus an LLM-driven Remediation Agent that plans and applies fixes conversationally. Missing for 10: independent/hands-on corroboration that natural-language commands reliably work end-to-end outside vendor docs.

   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “To validate the MCP server configuration, prompt your coding agent with natural language, for example, "scan my directory for security issue…”
   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”

   proof ↗⚑ flag

Api quality

1. ai-native userExplore an interactive API reference with runnable examples

   weight 2 · round drawn
   Semgrep—none0/10

   Semgrep documents an AppSec Platform API (list deployments, findings, projects) but there is no evidence of an interactive API reference with runnable/try-it examples; the openapi.json/swagger probes returned 404 on all candidate paths, indicating no interactive spec-based docs.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.semgrep.dev/openapi.json, https://docs.semgrep.dev/swagger.json, https://docs.semgrep.d…”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk has an API/web platform (referenced in snyk-docs-71) but there is no evidence of an interactive API reference with runnable examples; a probe for OpenAPI/Swagger specs at docs.snyk.io returned 404 across all candidate paths, and no docs mention a live API playground or runnable code samples.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”
   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”

   proof ↗⚑ flag

2. ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)

   weight 2 · round drawn
   Semgrep—none0/10

   Semgrep documents a REST API for the AppSec Platform (semgrep-docs-17/59) but a direct probe for machine-readable OpenAPI/Swagger specs at standard paths returned 404 everywhere (semgrep-probe-2), and no evidence of a published API spec exists elsewhere in the pack.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.semgrep.dev/openapi.json, https://docs.semgrep.dev/swagger.json, https://docs.semgrep.d…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”

   proof ↗⚑ flag

   Snyk—none0/10

   The evidence includes explicit probes for an OpenAPI/Swagger spec at Snyk's docs domain, all returning 404, and no other citation in the pack references a downloadable OpenAPI file for Snyk's API despite Snyk having a documented REST API (snyk-api-web). No first-party or independent evidence shows a machine-readable API spec is published.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”
   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”

   proof ↗⚑ flag

3. ai-native userRely on versioned APIs with a documented deprecation policy

   weight 2 · round drawn
   Semgrep—none0/10

   Semgrep documents an AppSec Platform API (semgrep-docs-17/59) but no evidence pack item mentions API versioning scheme or a documented deprecation policy; an OpenAPI spec probe returned 404s (semgrep-probe-2), suggesting no formal API contract is published. missing for 10: versioning scheme documentation, deprecation policy/notice process, changelog or migration guides for API changes.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.semgrep.dev/openapi.json, https://docs.semgrep.dev/swagger.json, https://docs.semgrep.d…”

   proof ↗⚑ flag

   Snyk—none0/10

   No evidence of API versioning scheme or a documented deprecation policy; the OpenAPI spec probe returned 404s and no docs reference version lifecycle or deprecation commitments.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”

   proof ↗⚑ flag

1. ai-native userPerform bulk operations across many items at once

   weight 2 · round drawn
   Semgrep~partialclaimed6/10

   Semgrep supports bulk-style operations such as scanning an entire codebase/monorepo in one command, cross-file/interfile analysis across many files, and 'Managed Scans' explicitly designed to 'bulk onboard and scan your repositories without requiring changes to your CI.' The AppSec Platform API also lets you programmatically list deployments/projects/findings across an organization. However, there is no documented bulk-action tooling (e.g., bulk triage, bulk rule application, batch API calls) beyond onboarding/scanning, so the story is only partially covered. Missing for 10: explicit bulk API endpoints for mass finding triage/remediation, evidence of batch operations beyond scanning/onboarding, and independent confirmation of large-scale bulk workflows in practice.

   • [claimed-docs] “consider Semgrep Managed Scans, which enables you to bulk onboard and scan your repositories without requiring changes to your CI”
   • [claimed-docs] “Learn how to set up Semgrep, scan your first project, which can be any codebase, repository, or folder within a monorepo, for security issue…”
   • [claimed-docs] “scan your first project, which can be any codebase, repository, or folder within a monorepo, for security issues, and view your findings”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [claimed-docs] “To turn on cross-file analysis, which allows you to detect vulnerabilities across files and folders”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk documents explicit bulk operations: the API/CLI supports running operations on targets, scans, and findings 'one by one or in bulk by providing identifiers or applying a filter' (snyk-docs-71), CLI flags like --all-projects/--yarn-workspaces for testing many projects at once (snyk-docs-43), and /snyk-batch-fix for addressing multiple vulnerabilities at once in agentic workflows (snyk-docs-23). This shows genuine bulk-operation support across CLI, API, and agentic/AI-native fix flows. missing for 10: no independent/hands-on corroboration of bulk API usage at scale, no detail on bulk operation limits or performance, and no evidence of bulk operations for other item types (e.g., bulk policy or ignore rule management).

   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [claimed-docs] “`--yarn-workspaces`: For Yarn Workspaces use the `--all-projects` flag to test and monitor your packages”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”

   proof ↗⚑ flag

2. ai-native userDefine rules that trigger actions automatically on events

   weight 3 · round to Semgrep
   Semgrep✓fullclaimed8/10

   Semgrep rules can be configured to run automatically on events (push, PR/MR, pre-commit) and trigger downstream actions such as PR comments, alerts/notifications, ticket creation, and autofix application — all documented as first-class features (semgrep-docs-25/28/16/46/22/30/38/53/57). This directly matches the story of rules triggering automated actions on events. missing for 10: independent/hands-on evidence confirming these automated trigger-action pipelines (e.g., ticket creation, alerting) work reliably in production beyond vendor docs.

   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events, Pull requests or merge …”
   • [claimed-docs] “The pre-commit framework can run semgrep when you commit changes. This is helpful in preventing secrets and security issues from leaking int…”
   • [claimed-docs] “The pre-commit framework can run `semgrep` when you commit changes. This is helpful in preventing secrets and security issues from leaking i…”
   • [claimed-docs] “Triage findings * Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [claimed-docs] “Triage findings Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [claimed-docs] “You can apply the Rule-defined fix directly to the file using the `--autofix` flag.”
   • [claimed-docs] “You can apply the Rule-defined fix directly to the file using the --autofix flag.”
   • [claimed-docs] “You can use Semgrep and its GitHub integration to automate PR comments that you frequently make in code reviews.”

   proof ↗⚑ flag

   Snyk~partialclaimed4/10

   Snyk offers some automated actions triggered by scan events — e.g., automatically opening fix PRs (snyk-docs-21), exporting issues to Jira (snyk-docs-6), and a vaguely-documented 'Policy management' feature (snyk-docs-32) — plus custom Rego-based IaC detection rules (snyk-docs-60/68). However there is no evidence of a general-purpose rule engine or webhook-style 'on event X, trigger action Y' automation framework that an AI-native user could configure themselves. Missing for 10: documented rule/trigger builder, webhook or event-subscription API, examples of custom automated actions beyond PR creation and Jira export.

   • [claimed-docs] “Track and export Snyk issues to your Jira project.”
   • [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
   • [claimed-docs] “Policy management”
   • [claimed-docs] “Rules are written in Rego.”
   • [claimed-docs] “The SDK helps you write, debug, test, bundle, and distribute custom rules written in Rego, which can then be used by the Snyk IaC CLI to fin…”

   proof ↗⚑ flag

3. ai-native userSchedule recurring jobs or workflows

   weight 2 · round to Semgrep
   Semgrep~partialclaimed3/10

   Semgrep supports automated scanning triggered by CI events (push, PR/MR) and offers Managed Scans for bulk repo scanning without CI changes, which implies some recurring automation, but there is no explicit documentation of a scheduling/cron mechanism or workflow orchestration for recurring jobs as an AI-native automation feature. missing for 10: explicit scheduling/cron support, documented recurring job configuration, and evidence of AI-native workflow orchestration beyond CI trigger events.

   • [claimed-docs] “consider Semgrep Managed Scans, which enables you to bulk onboard and scan your repositories without requiring changes to your CI”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events, Pull requests or merge …”
   • [claimed-docs] “This guide walks you through creating a Semgrep job in the following CI providers, which are explicitly supported in Semgrep AppSec Platform”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk offers scanning that can run in CI/CD pipelines and a CLI, but there is no evidence of a scheduler, recurring job/workflow orchestration, or cron-like automation feature for AI-native users to define and run recurring jobs. CI/CD integration (snyk-gh-3) only means Snyk can be invoked from a pipeline someone else schedules, not that Snyk itself schedules recurring workflows.

   ⚑ flag

4. ai-native userVersion, review, and roll back my automations

   weight 1 · round drawn
   Semgrep—none0/10

   Semgrep's evidence covers rule creation, testing, private-rule publishing, and CI integration, but nothing describes version history, review workflows, or rollback of rules/policies within Semgrep itself (rules are just YAML files presumably managed via external git, not a documented Semgrep versioning feature). Missing for 10: any documentation of rule/version history, approval/review workflow for rule changes, or a rollback mechanism in the Semgrep AppSec Platform.

   • [claimed-docs] “Users with Semgrep Code's Team or Enterprise tier can publish rules to the Semgrep Registry as private rules that are not visible to those o…”
   • [claimed-docs] “Semgrep provides a testing mechanism for your rules. You can write code and provide annotations to let Semgrep know where you are or aren't …”
   • [claimed-docs] “you can write custom rules to determine what Semgrep detects in your repositories”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk is a security scanning/remediation tool; there is no evidence of versioning, reviewing, or rolling back 'automations' (e.g., saved workflows, agent configurations, or fix scripts) — the closest features are PR-based fixes and a remediation agent, but no version history, review/audit trail, or rollback mechanism for automations is documented.

   ⚑ flag

Agent scanning

1. ai-native userHave an agent run a scan headlessly via the CLI, parse machine-readable results, and file issues for real findings

   weight 3 · round to Semgrep
   Semgrep~partialcommunity7/10

   Semgrep's CLI clearly supports headless, unauthenticated scanning (`semgrep ci`/`semgrep scan`, no login required, --dry-run) and machine-readable output via SARIF export, which an agent could parse. Community evidence (semgrep-comm-14) shows this pattern used in practice — SARIF output plus LLM triage to surface real findings for human review at Microsoft. Docs also mention 'send alerts/notifications or create tickets to track findings' for Semgrep Code, but this is vague and tied to the platform tier rather than a demonstrated CLI-to-issue-tracker pipeline. Missing for 10: explicit documented JSON/SARIF-to-ticket automation workflow, first-party GitHub/Jira issue-filing integration for CLI findings, and independent hands-on confirmation that filed issues correspond only to 'real' (non-false-positive) findings given community complaints about false positives (semgrep-comm-11).

   • [claimed-docs] “navigate to the root of your project, and run your first scan: semgrep ci”
   • [claimed-docs] “semgrep scan - This is the recommended command for scanning local codebases or scanning a project when you don't have a Semgrep account”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”
   • [claimed-docs] “To export the results to a SARIF file:”
   • [claimed-docs] “To export the results to a SARIF file: semgrep ci --sarif --sarif-output=semgrep.sarif”
   • [claimed-docs] “Triage findings * Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [claimed-docs] “Triage findings Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [community] “Built a tool using Semgrep's SARIF output plus prompted LLMs to help prioritize triage; used at Microsoft for the past year to help surface …”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk CLI clearly supports headless execution in CI/CD pipelines with a dedicated CI-CD-tester service-account role (snyk-docs-47, snyk-docs-73, snyk-gh-3), and terminal-based test/code-test commands report findings with severity, path, and fix guidance (snyk-gh-4, snyk-gh-5, snyk-gh-6). Jira and Slack integrations exist for tracking/exporting issues (snyk-docs-6, snyk-intdir-1), which supports 'filing issues for real findings.' Missing for 10: explicit documentation of machine-readable output flags (JSON/SARIF) for CLI results, and explicit evidence that an autonomous agent (rather than a human or existing integration) programmatically files issues from parsed CLI output.

   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [github] “Look at the `test` command report in your terminal. The report shows the vulnerabilities Snyk found in the package.”
   • [github] “To scan your source code, run `snyk code test`.”
   • [github] “The report shows the vulnerabilities Snyk found in the package. For each issue found, Snyk reports the severity of the issue, provides a lin…”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands.”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands. The role grants permissions to run `…”
   • [claimed-docs] “Track and export Snyk issues to your Jira project.”
   • [claimed-docs] “Partner integrations Jira and Slack integrations”

   proof ↗⚑ flag

2. ai-native userWire the scanner into my coding agent so AI-generated code is scanned for issues before it lands

   weight 2 · round to Snyk
   Semgrep✓fullprobed7/10

   Semgrep ships an official MCP server (docs.semgrep.dev/mcp) letting coding agents call the scanner directly, plus first-party messaging on scanning/fixing AI-generated code the moment it's written and combining AI reasoning with rule-based detection, and a pre-commit hook to catch issues before they land in Git history. Missing for 10: independent/hands-on validation that the MCP integration reliably works inside real agent workflows, and detail on latency or false-positive behavior when used inline with AI code generation.

   • [probe] “official MCP server documented at https://docs.semgrep.dev/mcp”
   • [claimed-docs] “Scan and fix AI-generated code the moment it's written”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”
   • [claimed-docs] “The pre-commit framework can run semgrep when you commit changes. This is helpful in preventing secrets and security issues from leaking int…”
   • [claimed-docs] “The pre-commit framework can run `semgrep` when you commit changes. This is helpful in preventing secrets and security issues from leaking i…”

   proof ↗⚑ flag

   Snyk✓fullprobed8/10

   Snyk Studio provides an official local MCP server and hooks-based integration for agentic dev environments (Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot) so AI-generated code is scanned via natural-language prompts or hooks before landing, plus CLI slash-commands like /snyk-fix for in-agent remediation. missing for 10: independent/hands-on verification of the Studio MCP workflow in production, and detail on automatic pre-commit enforcement (vs. manual prompting).

   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “To validate the MCP server configuration, prompt your coding agent with natural language, for example, "scan my directory for security issue…”
   • [claimed-docs] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
   • [claimed-docs] “Snyk Studio supports a default hooks-based approach for some agentic development environments (ADEs) to ensure code written by AI coding ass…”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [claimed-docs] “Run /snyk-fix in your coding assistant to scan the project and apply a fix for the top vulnerability.”
   • [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”

   proof ↗⚑ flag

Ci gates

1. devops-leadRun scans in CI on every pull request and fail the build on new findings via exit codes

   weight 3 · round to Semgrep
   Semgrep✓fullcommunity9/10

   Docs explicitly cover running `semgrep ci` in CI pipelines triggered on push/PR events, with dedicated CI provider guides, SARIF export, and exit-code based build behavior implied by 'ci' command design for gating; community evidence corroborates real-world CI usage. missing for 10: explicit documented mention of exit code semantics for failing builds on new findings (implied but not directly quoted).

   • [claimed-docs] “navigate to the root of your project, and run your first scan: semgrep ci”
   • [claimed-docs] “This guide walks you through creating a Semgrep job in the following CI providers, which are explicitly supported in Semgrep AppSec Platform”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”
   • [claimed-docs] “Semgrep is integrated into CI environments by creating a **job** that is run by the CI provider. After a scan, findings are sent to Semgrep …”
   • [claimed-docs] “To export the results to a SARIF file: semgrep ci --sarif --sarif-output=semgrep.sarif”
   • [community] “We've used Semgrep for Zulip's Python codebase for months and really appreciate the semantic checks, especially for security lint rules - it…”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk CLI is explicitly documented to run in CI/CD pipelines (snyk-gh-3, snyk-gh-7), with a dedicated CLI Tester role for CI/CD service accounts to run `snyk test`/`monitor` (snyk-docs-47, snyk-docs-73), and PR inline-comment integration is documented (snyk-docs-50). However, the evidence never explicitly confirms exit-code-based build failure behavior or documents a PR-triggered scan gating workflow. Missing for 10: explicit documentation of exit codes/build-fail behavior, explicit PR-trigger CI config examples, independent hands-on confirmation of CI gating working as described.

   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands.”
   • [claimed-docs] “This Organization-level role allows service accounts in CI/CD pipelines to run basic Snyk CLI commands. The role grants permissions to run `…”
   • [claimed-docs] “see the issues in the PR if you are using the inline comments capability, and view the details in the Snyk portal”

   proof ↗⚑ flag

2. developerSee scan findings surfaced as pull-request comments or checks in GitHub or GitLab

   weight 2 · round to Semgrep
   Semgrep✓fullclaimed7/10

   Docs confirm Semgrep integrates into CI at push/PR/MR events, posts PR/MR comments for Secrets findings, and offers a GitHub integration for automating PR review comments, with findings sent to the AppSec Platform after scans. missing for 10: explicit first-party documentation of GitHub/GitLab PR status checks (not just comments) for Semgrep Code/Supply Chain findings, and independent hands-on confirmation of the PR-comment UX beyond docs.

   • [claimed-docs] “informs developers of valid secrets in their PRs and MRs by posting comments directly”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events; Pull requests or merge …”
   • [claimed-docs] “your development cycle benefits from the automated scanning of repositories at various events, such as: Push events, Pull requests or merge …”
   • [claimed-docs] “Semgrep is integrated into CI environments by creating a **job** that is run by the CI provider. After a scan, findings are sent to Semgrep …”
   • [claimed-docs] “You can use Semgrep and its GitHub integration to automate PR comments that you frequently make in code reviews.”
   • [claimed-docs] “This guide walks you through creating a Semgrep job in the following CI providers, which are explicitly supported in Semgrep AppSec Platform”

   proof ↗⚑ flag

   Snyk~partialclaimed5/10

   Docs confirm Snyk integrates scanning results into 'repositories' and 'source code managers' and supports GitHub/GitLab via Snyk Broker (snyk-intdir-3, snyk-intdir-4), plus CI/CD pipeline integration (snyk-docs-18, snyk-gh-3) and PR-based fix workflows (snyk-docs-21). However, no evidence explicitly describes PR comments or GitHub/GitLab check-run surfaces for findings—only generic 'integrations' and 'fix PR' language. Missing for 10: explicit documentation or screenshot of PR comment/check UI, independent confirmation of check-status behavior, and GitLab-specific PR comment support.

   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
   • [claimed-docs] “By scanning code in real-time and providing actionable insights directly in the developer workflow across IDEs, repositories, and CI/CD pipe…”
   • [claimed-docs] “Real-time code scanning Integrations with IDE, CLI, and source code managers”
   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [claimed-docs] “GitHub - install and configure Snyk Broker”
   • [claimed-docs] “GitLab - install and configure Snyk Broker:”

   proof ↗⚑ flag

Pre commit

1. developerRun the scanner as a pre-commit hook so secrets and issues never enter my git history

   weight 3 · round to Semgrep
   Semgrep✓fullclaimed9/10

   Semgrep has explicit first-party documentation for integrating with the pre-commit framework, stating it runs semgrep on commit specifically to prevent secrets and security issues from leaking into git history, matching the story verbatim. Missing for 10: no independent/hands-on community confirmation specifically of the pre-commit hook workflow (community evidence covers CLI/CI use generally, not pre-commit hook experience).

   • [claimed-docs] “The pre-commit framework can run semgrep when you commit changes. This is helpful in preventing secrets and security issues from leaking int…”
   • [claimed-docs] “The pre-commit framework can run `semgrep` when you commit changes. This is helpful in preventing secrets and security issues from leaking i…”
   • [claimed-docs] “The pre-commit framework can run semgr”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk documents CLI-based scanning (including a dedicated `snyk secrets test` command) that can run locally or in CI/CD, but no evidence describes a pre-commit git hook integration or any workflow to block commits before secrets enter git history. The axis applies to a CLI security scanner, but no such hook capability is documented anywhere in the evidence pack.

   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”
   • [github] “You can run the CLI locally from the command line or in an IDE. You can also run the CLI in your CI/CD pipeline.”
   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”

   proof ↗⚑ flag

Containers

1. devops-leadScan container images for OS-package and application-layer vulnerabilities before deploying them

   weight 3 · round to Snyk
   Semgrep—none0/10

   The evidence pack covers Semgrep Code (SAST), Secrets, and Supply Chain (dependency/OSS SCA) scanning of source repositories, CI pipelines, and manifests, but contains no mention of scanning container images or detecting OS-package vulnerabilities inside image layers — a capability offered by dedicated container scanners. Since Semgrep explicitly compares itself to AppSec competitors (Checkmarx, Snyk) that do offer this, the axis is a fair comparison point but no evidence shows Semgrep delivers it.

   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”
   • [claimed-docs] “Generate reports and software bills of materials (SBOM) that provide a complete inventory of your open source components”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”
   • [claimed-docs] “Semgrep Secrets scans code to detect exposed API keys, passwords, and other credentials.”

   proof ↗⚑ flag

   Snyk✓fullcommunity7/10

   Snyk explicitly ships 'Snyk Container' for scanning container images and is described platform-wide as scanning 'container images' alongside code and dependencies, and one community comment even notes hearing good things about the container security tooling specifically. missing for 10: explicit doc language distinguishing OS-package vs application-layer vulnerability detection within images, and any hands-on/independent verification of a container scan (the probes only exercise `snyk test`/MCP, not `snyk container test`).

   • [claimed-docs] “Snyk Container provides tools and integrations to quickly find and fix vulnerabilities. This allows you to create images that have security …”
   • [claimed-docs] “Scan, prioritize, and fix vulnerabilities in your code, open-source dependencies, container images, and cloud configurations.”
   • [community] “Dependabot doesn't work well for a Fortune 50 company... Snyk like most security tools lacks perspective that takes business and how product…”

   proof ↗⚑ flag

Iac misconfig

1. devops-leadScan Terraform, Kubernetes, and other IaC files for security misconfigurations

   weight 2 · round to Snyk
   Semgrep~partialclaimed3/10

   Semgrep's docs mention that rules can be written to 'scan configuration files' as one use case (docs-21/35), which implies some IaC coverage, but the evidence pack never explicitly names Terraform, Kubernetes, Dockerfile, or IaC misconfiguration scanning as a supported capability. missing for 10: explicit documentation of Terraform/Kubernetes/Dockerfile rule packs, dedicated IaC scanning mode or product tier, and any community/hands-on confirmation of IaC misconfiguration detection.

   • [claimed-docs] “you can write rules that: Automate code review comments. Identify secure coding violations. Scan configuration files.”
   • [claimed-docs] “Automate code review comments. * Identify secure coding violations. * Scan configuration files.”
   • [claimed-docs] “Semgrep uses rules, which encapsulate pattern matching logic and data flow analysis, to scan your code for security issues, style violations…”

   proof ↗⚑ flag

   Snyk✓fullclaimed8/10

   Snyk IaC is explicitly documented to scan Terraform, Kubernetes, CloudFormation, and ARM configurations for misconfigurations, with CLI/IDE/SCM/CI integration, drift detection, and custom Rego rules for extending checks. The Snyk CLI GitHub docs corroborate this with a direct feature description ("Snyk IaC: Find and fix insecure configurations in Terraform and Kubernetes code"). Missing for 10: independent/hands-on user reports specifically validating IaC misconfiguration detection quality (community evidence in the pack concerns dependency/OSS scanning, not IaC).

   • [claimed-docs] “With Snyk IaC, you can: Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (ARM…”
   • [claimed-docs] “Detect manually created resources in your cloud.”
   • [claimed-docs] “Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (ARM) - for IDE, SCM, CLI, a…”
   • [claimed-docs] “Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (ARM)... View issues and rec…”
   • [claimed-docs] “With Snyk Infrastructure as Code (IaC), you can secure cloud infrastructure configurations before and after deployment.”
   • [claimed-docs] “With Snyk IaC, you can: * Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (…”
   • [claimed-docs] “Install the SDK using one of these options”
   • [claimed-docs] “Rules are written in Rego.”
   • [claimed-docs] “The SDK helps you write, debug, test, bundle, and distribute custom rules written in Rego, which can then be used by the Snyk IaC CLI to fin…”
   • [github] “Snyk IaC: Find and fix insecure configurations in Terraform and Kubernetes code”

   proof ↗⚑ flag

Coverage

1. developerScan projects across all the major languages and package ecosystems my organization uses

   weight 2 · round to Snyk
   Semgrep~partialcommunity6/10

   Docs and community evidence show Semgrep scanning across many languages (Python, JS/TS, Ruby, YAML, HTML, CSS) and separately covering open-source package ecosystems via Semgrep Supply Chain (docs-11,12,13,23,29,44,55), plus a generic-pattern fallback for unsupported languages (docs-39). However there's no explicit doc listing 'all major languages/ecosystems' coverage, and a hands-on report shows Semgrep's parser failing on valid TypeScript syntax (comm-3), plus performance complaints scanning large multi-language codebases (comm-2, comm-7) that temper the breadth claim. missing for 10: an explicit enumerated language/ecosystem coverage matrix, resolution of the TypeScript parser bug, and independent benchmarking across the full claimed language set.

   • [claimed-docs] “If there's a code pattern in the codebase that matches the vulnerability definition, the finding is flagged as reachable.”
   • [claimed-docs] “Generate reports and software bills of materials (SBOM) that provide a complete inventory of your open source components”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”
   • [claimed-docs] “Detect malicious dependencies associated with Supply Chain attacks”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”
   • [claimed-docs] “Semgrep can match generic patterns in languages that it does **not** yet support.”
   • [community] “Semgrep's parser complains that valid TypeScript using a typed catch clause (`catch (error: unknown)`) is invalid and can't be parsed.”
   • [community] “The underlying tree-sitter parser Semgrep uses is amazing - parsing millions of files across JS, TS, Ruby, YAML, HTML, CSS in about half a m…”
   • [community] “Running the CI ruleset on a tiny Django hobby project spun all cores to 100% after 33% progress and made the OS almost unresponsive; had to …”
   • [community] “We've used Semgrep for Zulip's Python codebase for months and really appreciate the semantic checks, especially for security lint rules - it…”

   proof ↗⚑ flag

   Snyk✓fullcommunity8/10

   Snyk documents broad ecosystem coverage: Open Source (SCA) with dependency scanning across languages (Java/Kotlin, JavaScript/Yarn, .NET, Python explicitly documented CLI usage), Snyk Code (SAST), Container, IaC (Terraform, CloudFormation, Kubernetes, ARM), and secrets scanning, all via CLI/IDE/CI-CD integrations. Community evidence corroborates real-world usage across npm and other ecosystems, though some users note database discrepancies vs npm audit and noise/false-positive complaints, which don't contradict breadth of coverage. Missing for 10: independent benchmark of coverage across all claimed languages/ecosystems and no explicit list of all supported package managers beyond the few named.

   • [claimed-docs] “Snyk Open Source allows you to find and fix vulnerabilities in the open-source libraries used by your applications.”
   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [claimed-docs] “Snyk Container provides tools and integrations to quickly find and fix vulnerabilities. This allows you to create images that have security …”
   • [claimed-docs] “With Snyk IaC, you can: Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (ARM…”
   • [claimed-docs] “To test Maven and Gradle Projects, use the `snyk test` command as follows”
   • [claimed-docs] “`--yarn-workspaces`: For Yarn Workspaces use the `--all-projects` flag to test and monitor your packages”
   • [claimed-docs] “To perform source code analysis, run `snyk code test` from the root of the Project.”
   • [claimed-docs] “To set the Python version in the CLI, add the following option to `snyk test` or `snyk monitor` with the name of the Python binary”
   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”
   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [github] “To scan your source code, run `snyk code test`.”
   • [community] “They use a different vulnerability database. Snyk's contains vulnerabilities that NPM's doesn't have, and vice versa. We're using them both …”
   • [community] “These confuse me because they don't align with yarn/npm audit. Which one is right? It is pretty unrealistic to dig into it myself.”

   proof ↗⚑ flag

Output formats

1. developerEmit scan results in machine-readable formats like JSON or SARIF for downstream tooling

   weight 2 · round to Semgrep
   Semgrep✓fullcommunity9/10

   Docs explicitly document exporting SARIF output via `semgrep ci --sarif --sarif-output=semgrep.sarif`, and community evidence shows real-world use of Semgrep's SARIF output for downstream tooling (e.g., piping into LLM triage at Microsoft). JSON output is also a standard supported format implied by the CLI's general reporting capabilities, though not separately documented in this pack. missing for 10: explicit docs snippet for --json flag usage.

   • [claimed-docs] “To export the results to a SARIF file:”
   • [claimed-docs] “To export the results to a SARIF file: semgrep ci --sarif --sarif-output=semgrep.sarif”
   • [community] “Built a tool using Semgrep's SARIF output plus prompted LLMs to help prioritize triage; used at Microsoft for the past year to help surface …”

   proof ↗⚑ flag

   Snyk—none0/10

   The evidence pack documents Snyk CLI commands (test, code test, monitor) and even a report-generation plugin (snyk-to-html) but never mentions JSON or SARIF output formats anywhere in the docs or CLI descriptions provided. Missing for 10: explicit mention of --json/--sarif flags, SARIF format support, or documentation of machine-readable output for CI/downstream tooling.

   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [github] “Look at the `test` command report in your terminal. The report shows the vulnerabilities Snyk found in the package.”
   • [claimed-docs] “To help generate reports locally or at build time, see the [snyk-to-html plugin]”
   • [claimed-docs] “To perform source code analysis, run `snyk code test` from the root of the Project.”

   proof ↗⚑ flag

Dependency fixes

1. developerGet concrete upgrade paths or automated fix pull requests that remediate vulnerable dependencies

   weight 2 · round to Snyk
   Semgrep—none0/10

   Semgrep Supply Chain (SCA) evidence covers dependency vulnerability detection, reachability analysis, SBOM generation, and malicious dependency detection, but nothing in the evidence pack describes generating concrete upgrade paths or automated fix pull requests for vulnerable dependencies. The --autofix flag ([semgrep-docs-38],[semgrep-docs-53]) applies to Semgrep Code's rule-defined fixes for SAST findings, not dependency remediation.

   • [claimed-docs] “If there's a code pattern in the codebase that matches the vulnerability definition, the finding is flagged as reachable.”
   • [claimed-docs] “Generate reports and software bills of materials (SBOM) that provide a complete inventory of your open source components”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”
   • [claimed-docs] “Detect malicious dependencies associated with Supply Chain attacks”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”
   • [claimed-docs] “You can apply the Rule-defined fix directly to the file using the `--autofix` flag.”

   proof ↗⚑ flag

   Snyk!disputedcontradicted5/10

   Snyk's docs clearly claim actionable fix advice, automated fix PRs, and an agentic Remediation Agent that generates and applies fix plans (snyk-docs-21, snyk-docs-12, snyk-docs-13, snyk-docs-23). However, hands-on community reports concretely contradict the PR remediation experience: users report Snyk's automated PRs were low-quality, generated 'dozens or hundreds' of PRs rather than sensible upgrades, missed version updates, and were ultimately turned off in favor of Dependabot (snyk-comm-6, snyk-comm-11). Missing for 10: independent corroboration that the newer agentic/Remediation Agent workflow fixes these earlier PR-quality complaints.

   • [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [community] “I'm not convinced their tools are better than npm audit + a license checker package... I've been very disappointed with their PR tools, and …”
   • [community] “we have this thrust on us ... we get pull requests for point release updates but it misses entire versions, it decides that packages that ha…”

   proof ↗⚑ flag

Sca scanning

1. developerScan my dependency manifests and lockfiles for packages with known vulnerabilities

   weight 3 · round to Snyk
   Semgrep✓fullcommunity7/10

   Semgrep Supply Chain is explicitly documented as an SCA tool that scans manifests/lockfiles, resolves dependency inventories, flags reachable vulnerabilities, detects malicious packages, and generates SBOMs (semgrep-docs-11,12,13,23,29,55). This directly matches the story of scanning dependency manifests/lockfiles for known vulnerabilities. Missing for 10: independent/hands-on community validation of SCA accuracy or usability (community evidence only covers SAST rule-writing, not the SCA/dependency-scanning feature), and one community comment (semgrep-comm-12) notes SCA isn't open-source and may require uploading data, a caveat not fully addressed in docs.

   • [claimed-docs] “If there's a code pattern in the codebase that matches the vulnerability definition, the finding is flagged as reachable.”
   • [claimed-docs] “Generate reports and software bills of materials (SBOM) that provide a complete inventory of your open source components”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”
   • [claimed-docs] “Detect malicious dependencies associated with Supply Chain attacks”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”
   • [claimed-docs] “Support the enforcement of your business’ open source package licensing requirements”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in”
   • [community] “Regarding Semgrep Supply Chain: "This is not open source, though? It does make a big difference for some whether you're able to run the chec…”

   proof ↗⚑ flag

   Snyk✓fullcommunity9/10

   Snyk Open Source explicitly scans manifests/lockfiles across ecosystems (npm, yarn workspaces, Maven/Gradle, .NET, Python) via `snyk test`, reports severity, vulnerable path, and fix advice, including indirect/transitive dependencies, and this is corroborated by community usage reports confirming it surfaces real vulnerabilities from its own database. Missing for 10: independent benchmark of detection accuracy/false-positive rate beyond community anecdotes.

   • [claimed-docs] “Snyk Open Source allows you to find and fix vulnerabilities in the open-source libraries used by your applications.”
   • [claimed-docs] “Open-source packages often reference other packages, and many vulnerabilities are found in these indirect dependencies.”
   • [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
   • [github] “Alternatively, you can perform a quick test on a public npm package, for example `snyk test ionic`.”
   • [github] “Look at the `test` command report in your terminal. The report shows the vulnerabilities Snyk found in the package.”
   • [github] “The report shows the vulnerabilities Snyk found in the package. For each issue found, Snyk reports the severity of the issue, provides a lin…”
   • [claimed-docs] “To test Maven and Gradle Projects, use the `snyk test` command as follows”
   • [claimed-docs] “`--yarn-workspaces`: For Yarn Workspaces use the `--all-projects` flag to test and monitor your packages”
   • [claimed-docs] “To set the Python version in the CLI, add the following option to `snyk test` or `snyk monitor` with the name of the Python binary”
   • [community] “They use a different vulnerability database. Snyk's contains vulnerabilities that NPM's doesn't have, and vice versa. We're using them both …”

   proof ↗⚑ flag

2. security-engineerPrioritize dependency alerts by whether the vulnerable code is actually reachable from my code

   weight 2 · round drawn
   Semgrep~partialclaimed6/10

   Semgrep Supply Chain explicitly implements reachability analysis, flagging findings as reachable when a matching code pattern exists in the codebase, which directly supports prioritizing dependency alerts by reachability. However, evidence lacks detail on how reachability is surfaced in triage workflows (e.g., filtering/sorting UI, PR gating specifically by reachability) and no independent/hands-on verification of reachability accuracy is present. missing for 10: evidence of UI/workflow for filtering or sorting alerts by reachability status, independent validation of reachability detection accuracy, detail on false negative/positive rates for reachability analysis.

   • [claimed-docs] “If there's a code pattern in the codebase that matches the vulnerability definition, the finding is flagged as reachable.”
   • [claimed-docs] “If there’s a code pattern in the codebase that matches the vulnerability definition, the finding is flagged as reachable.”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk's DeepCode AI documentation explicitly states it supports 'context-aware risk scoring, assessing the popularity of the affected package and the reachability of vulnerable code' (snyk-docs-36), directly addressing reachability-based prioritization, and Snyk Code offers risk scoring incorporating prevalence and ease of fix (snyk-docs-4). However, this reachability capability is described only briefly and tied to DeepCode AI/Code rather than clearly extended to Snyk Open Source (dependency/SCA) alerts specifically, and there is no independent or hands-on evidence confirming reachability analysis works reliably in practice for dependency vulnerabilities. missing for 10: explicit documentation that reachability analysis applies to Snyk Open Source (SCA) alerts specifically (not just SAST/DeepCode), independent/hands-on verification of reachability accuracy, and detail on how reachability signals surface in the alert triage UI/workflow.

   • [claimed-docs] “DeepCode AI supports Snyk’s context-aware risk scoring, assessing the popularity of the affected package and the reachability of vulnerable …”
   • [claimed-docs] “Sort by and prioritize the more important issues by incorporating factors such as issue prevalence, ease of fix, and risk factor into a sing…”
   • [claimed-docs] “Open-source packages often reference other packages, and many vulnerabilities are found in these indirect dependencies.”

   proof ↗⚑ flag

1. ai-native userDo everything through the API that I can do in the UI

   weight 2 · round drawn
   Semgrep~partialprobed4/10

   Semgrep AppSec Platform ships an API for listing deployments, projects and findings (semgrep-docs-17/59), and CLI/CI features (SARIF export, autofix, rule testing) give some parity with UI actions, but there is no evidence of a comprehensive OpenAPI spec (probe finds 404s at all openapi.json paths) or that triage actions, rule creation/management, policy configuration, or dashboard-only workflows are all exposed via API. missing for 10: documented OpenAPI/API reference covering full UI functionality, API endpoints for rule authoring/publishing and triage actions, independent confirmation that all UI capabilities are API-accessible.

   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep AppSec Platform, and list p…”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.semgrep.dev/openapi.json, https://docs.semgrep.dev/swagger.json, https://docs.semgrep.d…”
   • [claimed-docs] “Triage findings * Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [claimed-docs] “Users with Semgrep Code's Team or Enterprise tier can publish rules to the Semgrep Registry as private rules that are not visible to those o…”

   proof ↗⚑ flag

   Snyk~partialprobed4/10

   Snyk documents a Web API (snyk-api-web) that lets users run operations on targets, scans, and findings individually or in bulk, and has a CLI/MCP server for automation, implying some programmatic parity with core scanning workflows. However, there's no evidence the API covers UI-only features like reporting dashboards, policy management, RBAC, or Jira/Slack integrations, and a probe for a discoverable OpenAPI spec returned 404s. Missing for 10: explicit API coverage of dashboard/reporting, policy management, RBAC, and integration configuration; a published OpenAPI spec confirming full UI-API parity.

   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.snyk.io/openapi.json, https://docs.snyk.io/swagger.json, https://docs.snyk.io/api/opena…”
   • [claimed-docs] “Reporting dashboard – – ...Role-based access control”
   • [claimed-docs] “Policy management”

   proof ↗⚑ flag

2. ai-native userExport all of my data in open formats and leave

   weight 3 · round to Semgrep
   Semgrep~partialclaimed5/10

   Semgrep supports open-format export of scan results (SARIF) and a platform API to gather findings/projects, plus local CLI scanning that never uploads code by default (dry-run, no login required), which supports data portability and avoiding lock-in. However there's no documented comprehensive 'export all your data' feature covering full platform history, configs, and org data in one open bundle. Missing for 10: explicit bulk/account-level data export documentation, confirmation of open formats beyond SARIF (e.g., JSON schema docs), and independent verification of a full data portability workflow.

   • [claimed-docs] “To export the results to a SARIF file:”
   • [claimed-docs] “To export the results to a SARIF file: semgrep ci --sarif --sarif-output=semgrep.sarif”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”
   • [claimed-docs] “Semgrep AppSec Platform provides an API that enables you to list deployments, gather findings created by Semgrep”
   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”

   proof ↗⚑ flag

   Snyk~partialclaimed3/10

   Snyk offers some data egress mechanisms—exporting issues to Jira, generating local HTML reports via snyk-to-html, and API endpoints to operate on targets/scans/findings in bulk—but there is no documented full-data export/backup feature or explicit open-format portability/exit path for a user's entire account data. missing for 10: a comprehensive 'export all my data' feature, explicit open format guarantees (e.g., JSON/CSV bulk export), and documentation on data portability upon account closure.

   • [claimed-docs] “Track and export Snyk issues to your Jira project.”
   • [claimed-docs] “To help generate reports locally or at build time, see the [snyk-to-html plugin]”
   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”

   proof ↗⚑ flag

3. ai-native userRead the product's source under an open license

   weight 2 · round to Semgrep
   Semgrep~partialcommunity5/10

   The core Semgrep engine is hosted on a public GitHub repo (semgrep-gh-1/2/3), showing source code is publicly readable, but no evidence pack item states an explicit open-source license (e.g., LGPL) or points to a LICENSE file. Community evidence also notes that a commercial component, Semgrep Supply Chain, is explicitly 'not open source' (semgrep-comm-12), meaning the broader product is not uniformly open-licensed. missing for 10: explicit license text/citation, confirmation covering all product components, independent verification of license terms.

   • [github] “Semgrep would match x = 1; y = x + 1 when searching for 2”
   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”
   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”
   • [community] “Regarding Semgrep Supply Chain: "This is not open source, though? It does make a big difference for some whether you're able to run the chec…”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk is a commercial SaaS security platform; while the Snyk CLI repo is hosted on GitHub (snyk-gh-1..9), no evidence in the pack states an open-source license for the CLI or any other Snyk component, and the core scanning/backend product is proprietary. No claimed-docs or community evidence confirms open licensing of the product's source.

   ⚑ flag

4. ai-native userSelf-host the core product

   weight 3 · round to Semgrep
   Semgrep✓fullclaimed7/10

   Semgrep's core CLI/engine is open source and runs entirely on local infrastructure by default, never uploading code, and works without an account or login, which is effectively self-hosting the core scanning product (semgrep-gh-2, semgrep-docs-33/34/50/51/27). Missing for 10: explicit documentation of self-hosting the full AppSec Platform/server components, and independent hands-on confirmation of a self-hosted enterprise deployment.

   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”
   • [claimed-docs] “You can run local Semgrep CLI scans with the Semgrep command-line tool.”
   • [claimed-docs] “The --dry-run flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “semgrep scan - This is the recommended command for scanning local codebases or scanning a project when you don't have a Semgrep account”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk's core product (scanning engine, vulnerability database, dashboard, prioritization) is a hosted SaaS platform; the evidence only shows a CLI/IDE client and a 'Broker' that lets the SaaS reach into private networks (e.g., self-hosted registries/repos) — it does not self-host the core analysis/platform itself. No documentation describes an on-prem/self-hosted deployment of the core Snyk service.

   • [claimed-docs] “Run your Broker deployment on your container engine ([Docker Compose](#docker-compose-example) or [Kubernetes cluster](#helm)).”
   • [claimed-docs] “Snyk can integrate with self-hosted private container registries that are not internet-accessible and can help you to better secure containe…”
   • [claimed-docs] “Keep sensitive data such as your access tokens inside your private network, never sharing that information with Snyk.”
   • [github] “The Snyk CLI brings the functionality of Snyk into your development workflow. You can run the CLI locally from the command line or in an IDE…”
   • [claimed-docs] “Scan, prioritize, and fix vulnerabilities in your code, open-source dependencies, container images, and cloud configurations.”

   proof ↗⚑ flag

1. ai-native userChoose where my data is stored (region/residency)

   weight 2 · round drawn
   Semgrep—none0/10

   The evidence discusses local scanning (data never uploaded by default) and CLI dry-run options, but there is no mention of data residency, regional hosting options, or ability to choose storage location for the Semgrep AppSec Platform's cloud data. missing for 10: explicit region/residency selection controls, documentation of where cloud-stored findings/data reside, any enterprise data-residency options.

   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”

   proof ↗⚑ flag

   Snyk—none0/10

   No evidence in the pack discusses data residency, region selection, or geographic storage controls for Snyk data; all documentation focuses on scanning, remediation, CLI, and integrations. Since Snyk is a SaaS platform, data residency is a fair axis, but absence of evidence means it cannot be credited.

   ⚑ flag

2. ai-native userPrevent my data from being used to train AI models

   weight 3 · round to Semgrep
   Semgrep~partialclaimed4/10

   Semgrep's docs and GitHub note that scanning runs locally by default and code is never uploaded, and the --dry-run flag guarantees no upload to the Semgrep web app, which operationally limits data exposure that could feed model training. However, there is no explicit privacy policy or statement addressing whether data sent to Semgrep's cloud/AI features (e.g., AI-Powered Detection, Semgrep Assistant) is used for AI training, nor any opt-out mechanism specific to AI training. Missing for 10: explicit AI-training data-use policy, opt-out toggle for AI features, and independent confirmation of this guarantee.

   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “The --dry-run flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”

   proof ↗⚑ flag

   Snyk—none0/10

   The evidence pack contains no documentation of an AI-training opt-out, data-retention policy, or explicit 'your code will not be used to train models' commitment; the only related evidence (an old policy excerpt granting Snyk broad license to uploaded source) actually points the opposite direction. No first-party or independent source demonstrates this privacy control.

   • [community] “From their policies page: 'by uploading or posting content to the Platform and providing access to your system's source code repository, you…”

   proof ↗⚑ flag

3. ai-native userControl data retention and deletion

   weight 2 · round to Semgrep
   Semgrep~partialclaimed4/10

   Docs show privacy-preserving defaults (local-only scanning, --dry-run to avoid upload, no login required), giving users some control over whether data leaves their machine, but there is no evidence of explicit data retention periods, deletion mechanisms, or account/data-erasure controls for data that is uploaded to the Semgrep AppSec Platform. missing for 10: documented retention policy, explicit deletion/erasure controls for platform-stored findings, GDPR/CCPA data handling commitments.

   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “The --dry-run flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”

   proof ↗⚑ flag

   Snyk—none0/10

   No evidence pack items document data retention controls, deletion policies, or configurable data lifecycle management for Snyk's platform or its AI/agentic features; if anything, the community evidence (perpetual, transferable license grant over uploaded source code) points the opposite direction. No first-party documentation addresses how users can control or delete stored scan data, source snapshots, or AI-related data.

   • [community] “From their policies page: 'by uploading or posting content to the Platform and providing access to your system's source code repository, you…”

   proof ↗⚑ flag

4. ai-native userOpt out of telemetry and usage tracking

   weight 2 · round to Semgrep
   Semgrep~partialclaimed5/10

   Semgrep's docs and GitHub README indicate privacy-conscious defaults: code is analyzed locally and never uploaded by default, no login is required to run a scan, and the --dry-run flag explicitly prevents scan results from being uploaded to the Semgrep web app. However, there's no explicit documentation of a dedicated 'telemetry/usage tracking' opt-out setting (e.g., an env var or flag specifically for metrics/telemetry) beyond the scan-upload behavior. missing for 10: explicit telemetry/usage-metrics opt-out flag or setting, independent confirmation of what usage data (if any) is collected outside of code content.

   • [github] “Semgrep analyzes code locally on your computer or in your build environment: by default, code is never upload”
   • [claimed-docs] “The `--dry-run` flag ensures that your scans are not uploaded to the Semgrep web app.”
   • [claimed-docs] “You do **not** need to be logged in to run a scan.”
   • [claimed-docs] “The --dry-run flag ensures that your scans are not uploaded to the Semgrep web app.”

   proof ↗⚑ flag

   Snyk—none0/10

   No evidence pack item mentions telemetry, usage data collection, or an opt-out/opt-out flag for Snyk's CLI, MCP server, or platform. This is a fair question for a dev tool that runs locally and could collect usage analytics, but nothing in the provided docs, GitHub, or community sources addresses telemetry settings. missing for 10: any mention of telemetry collection, a documented opt-out flag/env var, privacy policy details on usage tracking, or community confirmation of opt-out behavior.

   ⚑ flag

Ai remediation

1. ai-native userHave AI draft remediation pull requests for security findings that I review and merge

   weight 2 · round to Semgrep
   Semgrep~partialclaimed4/10

   Semgrep offers rule-defined autofix (--autofix), AI-powered detection/triage/remediation messaging ('Combine AI reasoning with rule-based analysis for detection, triage, and remediation'), and GitHub PR comment automation, but there is no documented evidence of an end-to-end AI-drafted pull request workflow for remediation that a user reviews and merges. missing for 10: evidence of automatic PR/MR creation with AI-generated code fixes, a documented workflow showing AI drafting a remediation diff as a mergeable PR, and independent/hands-on confirmation of this remediation-PR feature working.

   • [claimed-docs] “You can apply the Rule-defined fix directly to the file using the `--autofix` flag.”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”
   • [claimed-docs] “You can use Semgrep and its GitHub integration to automate PR comments that you frequently make in code reviews.”
   • [claimed-docs] “informs developers of valid secrets in their PRs and MRs by posting comments directly”

   proof ↗⚑ flag

   Snyk!disputedcontradicted4/10

   Snyk documents both a rule-based fix-PR workflow for Open Source vulnerabilities (snyk-docs-21) and a newer LLM-driven 'Remediation Agent' that scans, generates a fix plan, and applies fixes via CLI/coding assistant (snyk-docs-12, snyk-docs-29, snyk-docs-30), which aligns with 'AI drafts a remediation PR for review.' However, hands-on community feedback specifically about Snyk's automated PR feature reports it as poor quality — generating dozens/hundreds of noisy PRs rather than meaningful rewrites, to the point the user disabled it in favor of Dependabot (snyk-comm-6) — directly contradicting the smooth 'draft-then-review-and-merge' experience implied by the story. Missing for 10: first-party or independent evidence the Remediation Agent itself opens a git PR (docs show it applying fixes locally/in-IDE, not confirmed PR creation), and corroboration that the AI-drafted PR quality is trustworthy enough for simple review-and-merge.

   • [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “It scans your Project with Snyk, generates a fix plan enriched with Snyk security intelligence, applies the fixes, and verifies the result, …”
   • [claimed-docs] “Run /snyk-fix in your coding assistant to scan the project and apply a fix for the top vulnerability.”
   • [community] “I'm not convinced their tools are better than npm audit + a license checker package... I've been very disappointed with their PR tools, and …”

   proof ↗⚑ flag

Code analysis

1. security-engineerDetect taint-style vulnerabilities that flow across files and function boundaries

   weight 2 · round to Semgrep
   Semgrep✓fullclaimed8/10

   Semgrep explicitly documents taint tracking/taint mode for catching injection-style vulnerabilities (semgrep-docs-41, semgrep-docs-58) and separately documents cross-file (interfile) analysis via Semgrep Code (semgrep-docs-2, semgrep-docs-32) plus interprocedural/interfile constant propagation (semgrep-docs-42), together supporting taint flows across files and function boundaries. Missing for 10: no independent/hands-on evidence specifically validating cross-file taint tracking accuracy (community evidence only covers simpler pattern-matching bypasses, not taint-mode cross-file cases).

   • [claimed-docs] “Taint tracking (known also as taint analysis) enables you to write simple rules that catch complex injection bugs, such as those that can re…”
   • [claimed-docs] “Semgrep supports taint analysis, also known as taint tracking, through taint rules.”
   • [claimed-docs] “To turn on cross-file analysis, which allows you to detect vulnerabilities across files and folders”
   • [claimed-docs] “Learn how to set up Semgrep, scan your project for security issues using Semgrep Code’s interfile analysis, and view your findings in the CL…”
   • [claimed-docs] “Semgrep AppSec Platform supports interprocedural (cross-function), interfile (cross-file) constant propagation.”

   proof ↗⚑ flag

   Snyk✓fullclaimed7/10

   Snyk Code's docs explicitly describe SAST scanning with 'source to sink' step-by-step flow visualization, which is textbook taint-style vulnerability detection tracing data flow through code paths (snyk-docs-2, snyk-docs-3, snyk-docs-18/26/33). This is corroborated by the CLI's snyk code test command for source code scanning (snyk-gh-5). missing for 10: explicit documentation stating flows are tracked across separate files/modules and function boundaries specifically (vs. within a single file), and independent hands-on validation of cross-file taint accuracy

   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [claimed-docs] “Visualize the path of the issue from source to sink with a step-by-step flow.”
   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [github] “To scan your source code, run `snyk code test`.”

   proof ↗⚑ flag

2. developerRun static analysis that finds vulnerability classes like injection and XSS in my source code

   weight 3 · round drawn
   Semgrep✓fullcommunity8/10

   Semgrep explicitly documents SAST scanning with taint tracking designed to catch injection and XSS bugs (semgrep-docs-41, semgrep-docs-58), backed by a CLI scan workflow (semgrep-docs-19, semgrep-docs-27) and corroborated by community use for security lint rules including injection detection (semgrep-comm-1, semgrep-comm-7). Missing for 10: independent benchmark data on vulnerability-class detection rates, and community reports show simple evasions (e.g., function aliasing) can bypass naive rules (semgrep-comm-6, semgrep-comm-10), indicating real-world efficacy caveats.

   • [claimed-docs] “Taint tracking (known also as taint analysis) enables you to write simple rules that catch complex injection bugs, such as those that can re…”
   • [claimed-docs] “Semgrep supports taint analysis, also known as taint tracking, through taint rules.”
   • [claimed-docs] “navigate to the root of your project, and run your first scan: semgrep ci”
   • [claimed-docs] “semgrep scan - This is the recommended command for scanning local codebases or scanning a project when you don't have a Semgrep account”
   • [community] “As a security consultant, I write custom Semgrep rules to match antipatterns unique to a codebase (e.g., controllers missing an authorizatio…”
   • [community] “We've used Semgrep for Zulip's Python codebase for months and really appreciate the semantic checks, especially for security lint rules - it…”
   • [community] “A simple Semgrep 'no-prints' rule can be trivially bypassed with a workaround like `import builtins; builtins.print("whee")`, showing the to…”
   • [community] “Tried the Semgrep editor demo searching for exec(...) in Python; it failed to catch a simple aliasing workaround: `not_exec = exec; not_exec…”

   proof ↗⚑ flag

   Snyk✓fullclaimed8/10

   Snyk Code is documented as a dedicated SAST solution that scans source code in real time across IDEs, repos, and CI/CD, with source-to-sink flow visualization for tracing vulnerable paths (e.g., injection/XSS-style taint flows), risk-based prioritization, and CLI/IDE integration confirmed by both docs and CLI usage examples (`snyk code test`). Missing for 10: explicit named CWE/OWASP coverage lists (e.g., explicit mention of 'SQL injection' or 'XSS' rule categories) and independent benchmark/accuracy validation beyond vendor claims.

   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [claimed-docs] “Visualize the path of the issue from source to sink with a step-by-step flow.”
   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [claimed-docs] “By scanning code in real-time and providing actionable insights directly in the developer workflow across IDEs, repositories, and CI/CD pipe…”
   • [claimed-docs] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
   • [github] “To scan your source code, run `snyk code test`.”

   proof ↗⚑ flag

Custom rules

1. security-engineerWrite custom static-analysis rules in a simple syntax and share them across repositories

   weight 2 · round to Semgrep
   Semgrep✓fullcommunity8/10

   Semgrep's docs extensively cover writing custom rules with a simple YAML-based pattern syntax, testing them, using taint tracking, and sharing rules across repos via the Registry and private rules for teams; community evidence (HN) confirms security engineers actually write custom rules to catch codebase-specific antipatterns and find the syntax readable/flexible across languages. Missing for 10: independent evidence specifically validating cross-repo sharing workflows at scale, and community reports note real limitations (bypassable rules, parser errors, performance issues) that slightly temper confidence in robustness.

   • [claimed-docs] “you can write custom rules to determine what Semgrep detects in your repositories”
   • [claimed-docs] “you can write and test using the [Semgrep Editor]”
   • [claimed-docs] “you can write rules that: Automate code review comments. Identify secure coding violations. Scan configuration files.”
   • [claimed-docs] “Users with Semgrep Code's Team or Enterprise tier can publish rules to the Semgrep Registry as private rules that are not visible to those o…”
   • [claimed-docs] “Semgrep provides a testing mechanism for your rules. You can write code and provide annotations to let Semgrep know where you are or aren't …”
   • [claimed-docs] “Taint tracking (known also as taint analysis) enables you to write simple rules that catch complex injection bugs, such as those that can re…”
   • [claimed-docs] “Semgrep supports taint analysis, also known as taint tracking, through taint rules.”
   • [community] “As a security consultant, I write custom Semgrep rules to match antipatterns unique to a codebase (e.g., controllers missing an authorizatio…”
   • [community] “A simple Semgrep 'no-prints' rule can be trivially bypassed with a workaround like `import builtins; builtins.print("whee")`, showing the to…”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk documents a full custom-rules SDK (writing rules in Rego, unit testing, parsing, and pushing a compiled bundle to an OCI registry for distribution) but this applies specifically to Snyk IaC, not to Snyk Code (the SAST product) — the only SAST-adjacent hook is a one-line mention of writing custom DeepCode AI queries with autocomplete, which is far less developed. Rego is also a specialized policy language rather than a 'simple syntax'. Missing for 10: documented custom rule authoring for Snyk Code/SAST specifically, evidence that Rego/DeepCode queries are beginner-simple, and a clear cross-repo sharing workflow beyond OCI bundle push.

   • [claimed-docs] “Install the SDK using one of these options”
   • [claimed-docs] “Rules are written in Rego.”
   • [claimed-docs] “Snyk provides a `parse` command.”
   • [claimed-docs] “Add unit tests for the rules you have written to verify your rules.”
   • [claimed-docs] “The SDK helps you write, debug, test, bundle, and distribute custom rules written in Rego, which can then be used by the Snyk IaC CLI to fin…”
   • [claimed-docs] “Optionally, once you have generated your custom rules bundle, you can distribute it automatically to one of our supported OCI registries by …”
   • [claimed-docs] “Write your own queries using DeepCode AI logic (with autocomplete) and leverage the hybrid AI to instantly find matches in your code.”

   proof ↗⚑ flag

Fix suggestions

1. developerApply suggested or automatic code fixes for findings instead of only reading reports

   weight 2 · round to Semgrep
   Semgrep~partialclaimed6/10

   Semgrep supports rule-defined autofix via the --autofix flag, letting developers apply suggested fixes directly to files (semgrep-docs-38, semgrep-docs-53), and AppSec Platform mentions 'remediation' and 'fix AI-generated code' (semgrep-docs-45, semgrep-docs-47). However, autofix depends on individual rules defining a fix and is not universal across all findings, and there's no independent/community evidence confirming real-world reliability of autofix. missing for 10: community/hands-on validation of autofix accuracy, evidence of coverage breadth (what % of rules ship with fixes), and any first-party numbers on fix acceptance rates.

   • [claimed-docs] “You can apply the Rule-defined fix directly to the file using the `--autofix` flag.”
   • [claimed-docs] “You can apply the Rule-defined fix directly to the file using the --autofix flag.”
   • [claimed-docs] “Semgrep is integrated into CI environments by creating a **job** that is run by the CI provider. After a scan, findings are sent to Semgrep …”
   • [claimed-docs] “Scan and fix AI-generated code the moment it's written”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”

   proof ↗⚑ flag

   Snyk!disputedcontradicted6/10

   Snyk documents multiple fix-application paths beyond reporting: automated fix PRs for Open Source vulnerabilities, DeepCode AI-driven autofixes with claimed 85% accuracy, the LLM-driven Remediation Agent (`snyk fix --agentic`, `/snyk-fix`, `/snyk-batch-fix`) that scans, plans, applies and verifies fixes, and IaC/Code fix advice with an 'ignore suggested fix' override (snyk-docs-12/13/14/21/23/30/5). However, hands-on community feedback specifically about the automated PR fix workflow reports it creates noisy, low-value PRs that miss versions or wrongly replace legitimately forked packages, leading users to disable the automated PR feature (snyk-comm-6, snyk-comm-11) — a concrete counter-example to the 'automatic fix' claim for at least one workflow. Missing for 10: independent verification of the newer Remediation Agent/DeepCode autofix accuracy claims, and resolution of the documented PR-quality complaints.

   • [claimed-docs] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
   • [claimed-docs] “Snyk CLI: Run `snyk fix --agentic` from your terminal to trigger a human-in-the-loop interactive remediation experience without an IDE.”
   • [claimed-docs] “DeepCode AI powers 85%-accurate security autofixes and comprehensive app coverage, letting developers build fast while staying secure.”
   • [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
   • [claimed-docs] “Run `/snyk-fix` in your coding assistant to scan the project and apply a fix for the top vulnerability. Use `/snyk-batch-fix` to address mul…”
   • [claimed-docs] “Run /snyk-fix in your coding assistant to scan the project and apply a fix for the top vulnerability.”
   • [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
   • [community] “I'm not convinced their tools are better than npm audit + a license checker package... I've been very disappointed with their PR tools, and …”
   • [community] “we have this thrust on us ... we get pull requests for point release updates but it misses entire versions, it decides that packages that ha…”

   proof ↗⚑ flag

Custom detection

1. security-engineerDefine custom detection rules for my organization's internal token and secret formats

   weight 2 · round to Semgrep
   Semgrep~partialcommunity6/10

   Semgrep's generic rule-writing engine is well documented (custom rules, pattern matching, Editor for testing) and community evidence confirms security engineers write custom rules for org-specific patterns, which extends naturally to matching internal token/secret formats via pattern or regex-based rules. However, there is no explicit documentation showing how to author custom rules specifically within the Semgrep Secrets product (e.g., custom secret validators or format definitions) — the evidence only shows built-in secret detection (docs-8/9/10) and generic custom rule capability (docs-4/5/21), not a documented workflow for adding custom secret-format rules to Semgrep Secrets. Missing for 10: explicit docs/examples for authoring custom Semgrep Secrets rule types (validators, custom regex-based secret detectors), and independent confirmation of doing so for secrets specifically.

   • [claimed-docs] “you can write custom rules to determine what Semgrep detects in your repositories”
   • [claimed-docs] “you can write and test using the [Semgrep Editor]”
   • [claimed-docs] “you can write rules that: Automate code review comments. Identify secure coding violations. Scan configuration files.”
   • [claimed-docs] “Semgrep Secrets scans code to detect exposed API keys, passwords, and other credentials.”
   • [claimed-docs] “valid secrets are those that have been tested against a web service and confirmed to successfully grant resources or authentication. They ar…”
   • [community] “As a security consultant, I write custom Semgrep rules to match antipatterns unique to a codebase (e.g., controllers missing an authorizatio…”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk documents a secrets-scanning feature (`snyk secrets test` for hard-coded API keys/passwords) but there is no evidence of any mechanism to define custom detection rules/regex patterns for an organization's own internal token or secret formats. The custom-rules SDK/Rego capability documented elsewhere is scoped to Snyk IaC (infrastructure configuration rules), not to secret detection. Missing for 10: any documented custom-pattern/rule authoring for Snyk Secrets, API/config for adding internal token signatures, or community evidence of this being used in practice.

   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”
   • [claimed-docs] “Install the SDK using one of these options”
   • [claimed-docs] “Rules are written in Rego.”
   • [claimed-docs] “The SDK helps you write, debug, test, bundle, and distribute custom rules written in Rego, which can then be used by the Snyk IaC CLI to fin…”

   proof ↗⚑ flag

Secret scanning

1. developerScan a repository and its full git history for hardcoded secrets and credentials

   weight 3 · round to Snyk
   Semgrep~partialclaimed4/10

   Semgrep Secrets is documented to scan code for exposed API keys, passwords, and credentials and validate them (semgrep-docs-8, semgrep-docs-9, semgrep-docs-43), and pre-commit hooks aim to prevent secrets from entering git history (semgrep-docs-16/46), but this only prevents future leaks — none of the evidence shows Semgrep actually scanning the full historical git commit log/diffs for previously committed secrets (a capability tools like gitleaks/trufflehog specialize in). missing for 10: explicit documentation or feature for scanning past git commits/history (not just current working tree), evidence of retroactive history-wide secret detection, independent confirmation this works in practice.

   • [claimed-docs] “Semgrep Secrets scans code to detect exposed API keys, passwords, and other credentials.”
   • [claimed-docs] “valid secrets are those that have been tested against a web service and confirmed to successfully grant resources or authentication. They ar…”
   • [claimed-docs] “Semgrep saves security engineers time and effort by prioritizing valid leaked secrets and informs developer”
   • [claimed-docs] “The pre-commit framework can run semgrep when you commit changes. This is helpful in preventing secrets and security issues from leaking int…”
   • [claimed-docs] “The pre-commit framework can run `semgrep` when you commit changes. This is helpful in preventing secrets and security issues from leaking i…”

   proof ↗⚑ flag

   Snyk~partialclaimed5/10

   Snyk explicitly offers secrets scanning via `snyk secrets test` to detect hardcoded API keys and passwords in the codebase, but no evidence describes scanning the full git history (e.g., past commits) for secrets. Missing for 10: documented git-history scanning capability, evidence of commit-level secret detection, and independent confirmation of history-wide coverage.

   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”

   proof ↗⚑ flag

2. security-engineerScan non-git sources like S3 buckets, Docker images, and CI logs for leaked secrets

   weight 2 · round drawn
   Semgrep—none0/10

   Semgrep Secrets is documented to scan code/repositories for exposed credentials, but nothing in the evidence pack shows support for scanning non-git sources like S3 buckets, Docker images, or CI logs — all scanning references are to codebases, folders, monorepos, or CI pipelines running against git-based projects.

   • [claimed-docs] “Semgrep Secrets scans code to detect exposed API keys, passwords, and other credentials.”
   • [claimed-docs] “valid secrets are those that have been tested against a web service and confirmed to successfully grant resources or authentication. They ar…”
   • [claimed-docs] “Semgrep saves security engineers time and effort by prioritizing valid leaked secrets and informs developer”
   • [claimed-docs] “Semgrep Secrets scans code to detect exposed API ke”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk documents secrets scanning only via `snyk secrets test` against a codebase, and container/IaC scanning is for vulnerabilities, not secrets, in container images. There is no evidence of scanning S3 buckets, Docker images, or CI logs specifically for leaked secrets.

   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”
   • [claimed-docs] “The Snyk Broker Container Registry Agent enables you to connect with network-restricted container registries so you can scan these registrie…”
   • [claimed-docs] “Snyk can integrate with self-hosted private container registries that are not internet-accessible and can help you to better secure containe…”

   proof ↗⚑ flag

3. security-engineerHave detected secrets verified against the issuing service so I know which ones are live

   weight 2 · round to Semgrep
   Semgrep✓fullclaimed8/10

   Semgrep Secrets explicitly performs validity checks by testing detected secrets against the issuing web service, distinguishing 'valid' (live, actively in use) secrets from invalid ones, and surfaces this in PR/MR comments to prioritize live secrets. Missing for 10: independent/hands-on corroboration of validation accuracy and broader coverage details across secret types/providers.

   • [claimed-docs] “valid secrets are those that have been tested against a web service and confirmed to successfully grant resources or authentication. They ar…”
   • [claimed-docs] “Semgrep Secrets scans code to detect exposed API keys, passwords, and other credentials.”
   • [claimed-docs] “informs developers of valid secrets in their PRs and MRs by posting comments directly”
   • [claimed-docs] “Semgrep saves security engineers time and effort by prioritizing valid leaked secrets and informs developer”

   proof ↗⚑ flag

   Snyk—none0/10

   Snyk documents a secrets scanning capability (snyk secrets test) that detects hard-coded secrets like API keys and passwords, but there is no evidence of any verification step that checks detected secrets against the issuing service to determine if they are live/valid.

   • [claimed-docs] “Scan your codebase for hard-coded secrets, including API keys and passwords. Use the `snyk secrets test` command to run a secrets scan from …”

   proof ↗⚑ flag

Licenses

1. devops-leadDetect the licenses of my dependencies and enforce a license policy in scans

   weight 1 · round to Snyk
   Semgrep—none0/10

   Semgrep Supply Chain evidence focuses on SCA vulnerability detection, reachability analysis, malicious dependency detection, and SBOM generation, but nothing in the pack mentions license detection or license-policy enforcement for dependencies.

   • [claimed-docs] “Generate reports and software bills of materials (SBOM) that provide a complete inventory of your open source components”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”
   • [claimed-docs] “Detect malicious dependencies associated with Supply Chain attacks”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”

   proof ↗⚑ flag

   Snyk~partialclaimed6/10

   Snyk Open Source explicitly documents license compliance scanning ('checking against licenses known to Snyk') and finding/addressing licensing issues in dependencies, plus a general 'Policy management' plan feature. However, evidence lacks detail on how license enforcement policies are configured (e.g., allow/deny lists, build-breaking thresholds) and no independent/community confirmation of this specific feature working well. missing for 10: explicit documentation of license policy configuration/enforcement workflow, evidence of blocking builds on license violations, independent corroboration of license scanning accuracy.

   • [claimed-docs] “Snyk Open Source can also scan your Projects for license compliance, checking against licenses known to Snyk.”
   • [claimed-docs] “You can also find and address licensing issues in or caused by these open-source libraries.”
   • [claimed-docs] “Snyk Open Source allows you to find and fix vulnerabilities in the open-source libraries used by your applications. You can also find and ad…”
   • [claimed-docs] “Policy management”

   proof ↗⚑ flag

Sbom

1. security-engineerGenerate a software bill of materials (SPDX or CycloneDX) for my project or image

   weight 2 · round to Semgrep
   Semgrep~partialclaimed5/10

   Semgrep Supply Chain docs explicitly state it can 'generate reports and software bills of materials (SBOM)' as part of dependency inventory, confirming the capability exists, but this is gated behind the paid Supply Chain/AppSec Platform tier and no evidence specifies SPDX/CycloneDX format support, CLI flags, or container image SBOM generation. missing for 10: confirmation of specific SPDX/CycloneDX output formats, CLI command/flag documentation for SBOM export, container/image scanning SBOM support, and independent/hands-on corroboration of SBOM generation working as described.

   • [claimed-docs] “Generate reports and software bills of materials (SBOM) that provide a complete inventory of your open source components”
   • [claimed-docs] “Supply Chain's Dynamic Dependency Resolution provides a complete inventory of your project's dependencies using a combination of manifest pa…”
   • [claimed-docs] “Semgrep Supply Chain is a software composition analysis (SCA) tool that detects security vulnerabilities in your codebase introduced by open…”
   • [claimed-docs] “Support the enforcement of your business’ open source package licensing requirements”

   proof ↗⚑ flag

   Snyk—none0/10

   The evidence pack covers Snyk Open Source, Code, Container, IaC scanning, remediation agents, and CLI usage, but nowhere mentions SBOM generation, SPDX, or CycloneDX output. Missing for 10: any documentation of an `snyk sbom` command or SPDX/CycloneDX export capability, missing for 10: any reference to bill-of-materials format support.

   ⚑ flag

Ai triage

1. ai-native userUse AI to triage findings — explaining them, deduplicating, and flagging likely false positives

   weight 3 · round to Semgrep
   Semgrep~partialcommunity6/10

   Semgrep ships a native AI feature (Semgrep Assistant) explicitly described as 'contextual post-processing of findings...to further reduce noise by ~20%', and marketing docs claim combining 'AI reasoning with rule-based analysis for detection, triage, and remediation,' plus AI-powered detection for complex logic flaws — directly supporting AI-assisted false-positive reduction and triage. However, deduplication specifically is never mentioned, and the strongest independent evidence of AI triage in practice comes from a third-party tool built on Semgrep's SARIF output plus external LLMs (used at Microsoft) rather than the native Assistant, suggesting the first-party AI-triage feature is thin on independent corroboration. Missing for 10: explicit deduplication capability, deeper documentation of Assistant's explanation/false-positive-flagging behavior, independent hands-on evidence validating the native AI triage feature itself.

   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”
   • [claimed-docs] “With AI-Powered Detection, you can automatically identify complex business logic flaws, such as IDORs and broken authorization.”
   • [claimed-docs] “Combine AI reasoning with rule-based analysis for detection, triage, and remediation”
   • [community] “Built a tool using Semgrep's SARIF output plus prompted LLMs to help prioritize triage; used at Microsoft for the past year to help surface …”

   proof ↗⚑ flag

   Snyk~partialcommunity5/10

   Snyk's DeepCode AI and Snyk Code provide AI-driven risk scoring, reachability and exploit-maturity analysis to prioritize findings (snyk-docs-4, snyk-docs-36, snyk-docs-14), and users can manually suppress/ignore findings (snyk-docs-5), which partially supports the triage-noise theme. However there is no explicit AI-driven deduplication or automated false-positive flagging feature documented, and community feedback explicitly states that alerts 'remain mostly noise' without context-aware understanding and that users are confused about vulnerability validity (snyk-comm-9, snyk-comm-10), undercutting the strength of the triage claim. Missing for 10: explicit AI deduplication capability, explicit automated false-positive detection/flagging, and independent evidence that AI prioritization concretely reduces noise in practice.

   • [claimed-docs] “Sort by and prioritize the more important issues by incorporating factors such as issue prevalence, ease of fix, and risk factor into a sing…”
   • [claimed-docs] “DeepCode AI supports Snyk’s context-aware risk scoring, assessing the popularity of the affected package and the reachability of vulnerable …”
   • [claimed-docs] “DeepCode AI powers 85%-accurate security autofixes and comprehensive app coverage, letting developers build fast while staying secure.”
   • [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
   • [community] “These confuse me because they don't align with yarn/npm audit. Which one is right? It is pretty unrealistic to dig into it myself.”
   • [community] “Until these alerts get better at understanding context of use of a dependency, they're going to remain mostly noise... No, I don't care abou…”

   proof ↗⚑ flag

Fp management

1. security-engineerBaseline or ignore existing and false-positive findings so only new issues alert

   weight 3 · round to Snyk
   Semgrep~partialclaimed4/10

   Docs mention a 'Triage findings' capability (alerts/tickets for tracking findings) and Semgrep Assistant's contextual post-processing to reduce noise by ~20%, implying some findings-management workflow, but there is no explicit evidence of baseline scanning (e.g., baseline-commit diffing), ignore-comments (nosemgrep), or a documented false-positive suppression/triage-state workflow. missing for 10: explicit baseline-commit/diff scanning documentation, .semgrepignore or inline nosemgrep suppression evidence, and a documented 'mark as false positive / ignored' triage state in the platform.

   • [claimed-docs] “Triage findings * Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [claimed-docs] “Triage findings Send alerts and notifications or create tickets to track findings identified by Semgrep Code”
   • [github] “Contextual post-processing of findings with Semgrep Assistant (AI) to further reduce noise by ~20%”

   proof ↗⚑ flag

   Snyk~partialcommunity5/10

   Docs confirm an explicit ignore capability ('Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings') and a 'Policy management' feature is listed in plans, which supports suppressing known/false-positive findings. However, there is no evidence of a dedicated baseline mechanism (e.g., 'only alert on new issues since baseline scan') or detail on ignore workflows across SCA/Container/IaC beyond Snyk Code, and community feedback notes ongoing noise complaints suggesting the ignore/triage experience is imperfect in practice. Missing for 10: dedicated baseline/'new-only' gating documentation, cross-product ignore policy details (SCA, IaC, Container), and independent confirmation that ignored/baselined findings stay suppressed reliably.

   • [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
   • [claimed-docs] “Policy management”
   • [community] “Until these alerts get better at understanding context of use of a dependency, they're going to remain mostly noise... No, I don't care abou…”

   proof ↗⚑ flag

2. developerFilter and gate on findings by severity or confidence so low-value noise does not block builds

   weight 2 · round to Snyk
   Semgrep—none0/10

   The evidence pack describes general triage/noise features (AI post-processing to reduce noise, ticketing/alerts, reachability analysis) but never mentions severity levels, confidence scores, or a mechanism to filter/gate CI builds based on them. Missing for 10: explicit severity/confidence filtering flags (e.g., --severity), CI gating configuration based on severity/confidence thresholds, and documentation tying these to build pass/fail behavior.

   ⚑ flag

   Snyk~partialcommunity6/10

   Snyk documents risk-based prioritization (issue prevalence, risk score, context-aware exploit maturity/reachability scoring), the ability to filter/operate on findings, and the ability to suppress specific issues via ignore rules and policy management, which supports reducing noise. However, the evidence pack never explicitly documents a severity-threshold or confidence-threshold CLI/CI gating flag, and community feedback (e.g., low-severity findings called 'mostly noise') suggests the filtering doesn't fully eliminate noise in practice. Missing for 10: explicit documented severity/confidence threshold gating mechanism for CI builds, independent confirmation that gating reduces false-positive build blocks.

   • [claimed-docs] “Sort by and prioritize the more important issues by incorporating factors such as issue prevalence, ease of fix, and risk factor into a sing…”
   • [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
   • [claimed-docs] “Risk-based prioritization – – Reporting dashboard”
   • [claimed-docs] “Policy management”
   • [claimed-docs] “DeepCode AI supports Snyk’s context-aware risk scoring, assessing the popularity of the affected package and the reachability of vulnerable …”
   • [claimed-docs] “You can run operations on your targets, scans, and findings one by one or in bulk by providing the identifiers or applying a filter.”
   • [github] “The report shows the vulnerabilities Snyk found in the package. For each issue found, Snyk reports the severity of the issue, provides a lin…”
   • [community] “Until these alerts get better at understanding context of use of a dependency, they're going to remain mostly noise... No, I don't care abou…”

   proof ↗⚑ flag