Snyk vs Gitleaks
Gitleaks wins · 9–11 (12 drawn)
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
Agent access
ai-native userPoint an agent at llms.txt or agent-oriented docs
weight 2 · round to SnykSnyk 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…”
Gitleaksnone0/10A direct probe found no llms.txt file (404) and no agent-oriented docs/openapi endpoints, so there is no evidence Gitleaks provides machine-readable docs for AI agents.
ai-native userRun the product headlessly / in CI for automation
weight 2 · round drawnSnyk CLI explicitly supports running in CI/CD pipelines (snyk-gh-3, snyk-gh-7) with test/code test commands producing terminal reports (snyk-gh-4, snyk-gh-5, snyk-gh-6), and Snyk Code/Open Source docs confirm scanning integrates across CI/CD pipelines (snyk-docs-18, snyk-docs-26, snyk-docs-33). missing for 10: no independent/community corroboration of CI usage specifically (only vendor docs/GitHub), and no explicit example of a CI YAML config or automation-friendly non-interactive flags/output formats (e.g., JSON output for pipelines) in the evidence.
- [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…”
- [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] “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…”
Gitleaks is a CLI that scans repos, directories, or stdin, is installable via Homebrew/Docker/Go, and has an official GitHub Action (gitleaks-action) for automated CI scanning on PRs/commits with exit-code-based pass/fail reporting, making it well-suited for headless CI automation. Missing for 10: evidence of non-GitHub CI integrations (GitLab CI, Jenkins, CircleCI) and JSON/SARIF output examples for machine-readable pipeline consumption.
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “You can also stream data to gitleaks with the `stdin` command.”
- [github] “Gitleaks can be installed using Homebrew, Docker, or Go.”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “You can use it to automatically run a gitleaks scan on all your team's pull requests and commits, or run on-demand scans.”
- [github] “➜ git commit -m "this commit contains a secret" Detect hardcoded secrets.................................................Failed”
ai-native userUse an official CLI
weight 2 · round to SnykSnyk ships a well-documented official CLI (snyk-gh-1/3/7, snyk-probe-4/7) supporting local, IDE, and CI/CD workflows, plus explicit AI-native/agentic capabilities: `snyk fix --agentic` for human-in-the-loop remediation, `/snyk-fix` and `/snyk-batch-fix` slash commands for coding assistants, and a built-in MCP server (`snyk mcp -t stdio`) verified live via handshake probe. This directly satisfies the ai-native CLI story with both docs and hands-on confirmation. missing for 10: independent/community corroboration specifically praising the CLI's agentic features (community evidence here is generic and mixed, not focused on this), and probe-5 shows every scan requires prior authentication (no keyless/unauthenticated 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] “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…”
- [probe] “official CLI documented at https://docs.snyk.io/developer-tools/snyk-cli/snyk-cli”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
- [probe] “PROBE cli-version (local run): `snyk --version` printed 1.1307.0 and exited 0 after `brew tap snyk/tap && brew install snyk`.”
- [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.”
- [claimed-docs] “Run /snyk-fix in your coding assistant to scan the project and apply a fix for the top vulnerability.”
Gitleaks ships a first-party CLI (git, dir, stdin subcommands) that is well documented with usage examples and is the primary interface for the tool, making it fully scriptable/automatable for agentic workflows. Missing for 10: no explicit agent/LLM-oriented docs (e.g., llms.txt returns 404) or structured JSON-output guidance tailored to AI consumers.
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “You can also stream data to gitleaks with the `stdin` command.”
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
- [probe] “official CLI documented at https://github.com/gitleaks/gitleaks”
ai-native userDrive the product through a documented public API
weight 3 · round drawnSnyknone0/10The evidence pack shows CLI and MCP-server access but no documented public REST/GraphQL API; a direct probe for OpenAPI/swagger specs on docs.snyk.io returned 404 for all candidate paths, indicating no discoverable public API documentation.
- [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…”
Gitleaksnone0/10Gitleaks is a CLI/scanner tool with no documented public API for programmatic/agentic access; probes confirm no llms.txt and no OpenAPI/swagger endpoint exist, and the CLI/GitHub Action docs don't constitute a public API.
ai-native userSubscribe to events via webhooks
weight 2 · round drawnSnyknone0/10No evidence pack items mention webhooks or event subscription mechanisms; Snyk's integrations directory references Jira, Slack, GitHub/GitLab brokers, but nothing about outbound webhook events for AI-native consumption.
Gitleaksnone0/10Gitleaks is a CLI secret-scanning tool with CI integrations (GitHub Action, PR comments, alerts) but no evidence of a webhook subscription mechanism for events; probes for API/openapi specs returned 404s, and no webhook docs exist.
- [probe] “PROBE llms.txt: HTTP 404 at https://gitleaks.io/llms.txt”
- [probe] “PROBE openapi: all candidate paths 404 (https://gitleaks.io/openapi.json, https://gitleaks.io/swagger.json, https://gitleaks.io/api/openapi.…”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “A list of GitHub accounts that should be alerted when **gitleaks-action** detects a leak.”
Agentic features
ai-native userGet AI-generated insights and suggestions from my data inside the product
weight 2 · round to SnykSnyk provides AI-generated insights directly in-product: DeepCode AI-powered risk scoring/prioritization, actionable fix advice, an LLM-driven Remediation Agent that scans, generates fix plans enriched with Snyk security intelligence, applies fixes, and verifies results, plus natural-language querying via MCP/Snyk Studio. missing for 10: independent/hands-on validation of insight quality and accuracy (community evidence is largely about unrelated PR/dependency issues, not AI-insight quality), and no data on how these insights surface for non-code data sources beyond code/deps/IaC.
- [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] “It scans your Project with Snyk, generates a fix plan enriched with Snyk security intelligence, applies the fixes, and verifies the result, …”
- [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] “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] “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…”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
Gitleaksnone0/10Gitleaks is a rule-based secret-detection scanner with no evidence of AI-generated insights, summaries, or suggestions; probes for llms.txt and API/OpenAPI endpoints returned 404, and all documented features are deterministic regex/rule-based scanning, alerting, and CI integration.
- [probe] “PROBE llms.txt: HTTP 404 at https://gitleaks.io/llms.txt”
- [probe] “PROBE openapi: all candidate paths 404 (https://gitleaks.io/openapi.json, https://gitleaks.io/swagger.json, https://gitleaks.io/api/openapi.…”
- [github] “Gitleaks offers a configuration format you can follow to write your own secret detection rules”
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
ai-native userSet up automations that run autonomously in the background
weight 2 · round drawnSnyk supports autonomous background operation via CI/CD pipeline scanning (snyk-gh-3) and an LLM-driven Remediation Agent that scans, generates a fix plan, applies fixes and verifies results without manual step-by-step intervention (snyk-docs-12, snyk-docs-29). However, the CLI's flagship 'agentic' fix mode is explicitly described as a 'human-in-the-loop interactive' experience rather than fully autonomous (snyk-docs-13), and community reports describe Snyk's older automated PR/remediation feature as noisy and low-value, leading users to disable it (snyk-comm-6, snyk-comm-11) — a concrete real-world caveat on unattended automation quality. Missing for 10: independent verification that the newer Remediation Agent runs unattended in production pipelines at scale, and confirmation that automated PR/fix quality issues raised by users have been resolved.
- [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…”
- [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.”
- [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.”
- [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…”
Gitleaks-action lets teams wire secret scanning to run automatically in the background on every push/PR (and pre-commit hooks trigger locally) without manual intervention, satisfying the 'runs autonomously' spirit of the story. Missing for 10: no evidence of scheduled/cron-based or event-driven automation beyond git hooks/CI triggers, and no AI-agent-specific orchestration or self-triggering capability.
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “You can use it to automatically run a gitleaks scan on all your team's pull requests and commits, or run on-demand scans.”
- [github] “You can run Gitleaks as a pre-commit hook by copying the example `pre-commit.py` script into your `.git/hooks/` directory.”
- [claimed-docs] “There are no changes to inputs, outputs, or behavior. The upgrade is a one-line change in your workflow file”
Api quality
ai-native userExplore an interactive API reference with runnable examples
weight 2 · round drawnSnyknone0/10No evidence of an interactive API reference with runnable examples; the evidence pack includes an explicit probe showing all candidate OpenAPI/Swagger spec URLs return 404, and no docs reference an API explorer or 'try it' console.
- [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…”
Gitleaksnone0/10Gitleaks is a CLI secret-scanning tool with no interactive API reference; probes explicitly show no llms.txt and no OpenAPI/swagger spec found on gitleaks.io, and evidence only documents CLI commands, not a runnable API playground.
ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)
weight 2 · round drawnSnyknone0/10A probe explicitly checked for an OpenAPI/swagger spec at Snyk's docs domain and found all candidate paths (openapi.json, swagger.json, etc.) returning 404 — no machine-readable API spec was found. No other evidence in the pack shows a downloadable OpenAPI/Swagger file for Snyk's API.
- [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…”
Gitleaksnone0/10Gitleaks is a CLI secret-scanning tool with no API/web service, and direct probes confirm no OpenAPI or machine-readable spec exists at any expected location.
ai-native userRely on versioned APIs with a documented deprecation policy
weight 2 · round drawnSnyknone0/10The evidence pack contains no documentation of a versioned API or a deprecation policy; in fact the probe for OpenAPI/swagger specs at docs.snyk.io returned 404 on all candidate paths, and no other artifact (CLI, MCP server, docs) references API versioning or deprecation guarantees.
- [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…”
Gitleaksnone0/10Gitleaks is a CLI/CI secret-scanning tool with no evidence of a public/versioned API; probes for OpenAPI spec and llms.txt both returned 404s, and there's no mention of an API deprecation policy anywhere in the evidence.
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
ai-native userPerform bulk operations across many items at once
weight 2 · round to SnykSnyk explicitly documents a `/snyk-batch-fix` slash command for coding assistants to fix multiple vulnerabilities in one operation, and the Remediation Agent scans, generates a fix plan, and applies fixes across a whole project rather than one issue at a time. Independent community evidence corroborates bulk behavior in practice (Snyk generating 'dozens or hundreds of PRs' for dependency updates), showing the batch capability actually operates at scale, even if some users found the volume unwieldy. Missing for 10: a documented bulk/batch REST API for programmatic multi-item operations, and clearer scale limits or first-party benchmarks for large-scale automation.
- [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. 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, …”
- [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 …”
Gitleaks natively scans across many items at once — entire directories/file trees via the `dir` command and full git commit history via `git log -p` with the `git` command, and gitleaks-action can scan all PRs/commits automatically in CI. However, there's no evidence of a broader batch/programmatic API for bulk operations beyond directory/repo scanning (e.g., processing many repos, bulk config management, or structured bulk output for agentic pipelines). Missing for 10: multi-repo/bulk-target orchestration, programmatic batch API beyond CLI file/dir args, and evidence of AI-native bulk workflows.
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `git` command lets you scan local git repos. Under the hood, gitleaks uses the `git log -p` command to scan patches.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files. Example: `gitleaks dir -v path_to_directory_or…”
- [claimed-docs] “You can use it to automatically run a gitleaks scan on all your team's pull requests and commits, or run on-demand scans.”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
ai-native userDefine rules that trigger actions automatically on events
weight 3 · round to GitleaksSnyk supports some automated, event-driven actions (auto-generated fix PRs on new vulnerabilities, CI/CD pipeline gating, hooks-based Studio integration for agentic environments, and policy management mentioned in pricing docs) but there is no documented general-purpose rule engine letting an AI-native user define custom triggers/conditions to fire arbitrary actions. Community feedback (snyk-comm-6, snyk-comm-11) even notes the automated PR behavior is inflexible and noisy rather than configurable. missing for 10: explicit custom rule/condition builder, documentation of webhook or event-subscription API for arbitrary triggers, evidence of user-configurable automation beyond default PRs/hooks.
- [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 provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
- [claimed-docs] “Policy management”
- [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…”
Gitleaks supports custom detection rules (regex-based) and can trigger automatic actions on events—pre-commit hook blocks commits containing secrets, and gitleaks-action runs on GitHub push/PR events to alert accounts and comment on PRs. However this is limited to secret-scanning triggers tied to git/CI events, not a general-purpose rule/action automation engine. Missing for 10: evidence of arbitrary event types or custom action definitions beyond GitHub-specific alerting/commenting, and no AI-native/agentic trigger framework.
- [github] “You can run Gitleaks as a pre-commit hook by copying the example `pre-commit.py` script into your `.git/hooks/` directory.”
- [github] “Gitleaks offers a configuration format you can follow to write your own secret detection rules”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “A list of GitHub accounts that should be alerted when **gitleaks-action** detects a leak.”
- [claimed-docs] “**gitleaks-action** uses this token to call [a GitHub API] to comment on PRs.”
- [github] “➜ git commit -m "this commit contains a secret" Detect hardcoded secrets.................................................Failed”
ai-native userSchedule recurring jobs or workflows
weight 2 · round drawnSnyknone0/10Snyk supports scanning via CLI, CI/CD pipelines, and IDE integrations, but there is no evidence of a native scheduler or built-in mechanism for recurring/cron-style jobs or workflows; recurring scans would need to be built externally via CI/CD cron triggers, which is not documented as a Snyk feature.
Gitleaksnone0/10Evidence shows Gitleaks integrates with git hooks and GitHub Actions triggered by commits/PRs, but nothing describes scheduling recurring/cron-based scans or workflows as a distinct capability. The axis applies (CI security tools commonly support scheduled scans) but no evidence confirms this for Gitleaks.
Ci precommit — stories about ci precommit in this arenaCi precommit
Stories about ci precommit in this arena
Agent scanning
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 drawnThe Snyk CLI is confirmed to run headlessly in CI/CD pipelines (snyk-gh-3, snyk-gh-7) and produces a terminal report of vulnerabilities with severity, path, and fix guidance (snyk-gh-4, snyk-gh-6), and Jira/Slack integrations exist for tracking issues (snyk-docs-6, snyk-intdir-1). However, the pack never documents a machine-readable (JSON/SARIF) output flag for CLI scans, nor an automated pipeline that parses CLI results and files issues for real findings specifically — Jira export appears to be a platform-level feature rather than a CLI-driven headless workflow. missing for 10: documented CLI JSON/SARIF output flag, evidence of an agent parsing that output and auto-filing issues end-to-end.
- [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…”
- [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] “Track and export Snyk issues to your Jira project.”
- [probe] “PROBE cli-scan (local run, macOS, snyk 1.1307.0): `snyk test <dir>` on a fixture with known-vulnerable lodash 4.17.15 exited 2 with "ERROR A…”
Gitleaks CLI supports headless scanning of repos/dirs/stdin and can output baseline reports like findings.json, giving a machine-readable artifact an agent could parse; gitleaks-action also automates PR-based alerting. However there's no explicit documentation of a structured JSON/SARIF report flag, and no evidence of automated issue-filing (only PR comments/alerts to accounts, not issue tracker integration). Missing for 10: explicit machine-readable output format docs (e.g. --report-format json/sarif), and evidence of automated issue creation for real findings.
- [github] “The `git` command lets you scan local git repos. Under the hood, gitleaks uses the `git log -p` command to scan patches.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files. Example: `gitleaks dir -v path_to_directory_or…”
- [github] “You can also stream data to gitleaks with the `stdin` command. Example: `cat some_file | gitleaks -v stdin`”
- [github] “After running the detect command with the --baseline-path parameter, report output (findings.json) will only contain new issues.”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “**gitleaks-action** uses this token to call [a GitHub API] to comment on PRs.”
- [claimed-docs] “A list of GitHub accounts that should be alerted when **gitleaks-action** detects a leak.”
ai-native userWire the scanner into my coding agent so AI-generated code is scanned for issues before it lands
weight 2 · round to SnykSnyk documents and a hands-on probe confirm a local MCP server (snyk mcp -t stdio) that plugs into coding agents/ADEs, plus hooks-based secure-at-inception workflows, natural-language scan prompts, and slash-commands (/snyk-fix, /snyk-batch-fix) for scanning and remediating AI-generated code before it lands. This is corroborated independently by a local probe showing the MCP server actually starts and responds to JSON-RPC initialize. Missing for 10: independent/community verification specifically of the agentic MCP workflow's real-world reliability (community evidence found is about the CLI/PR features generally, not the MCP-agent integration).
- [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] “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”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
Gitleaks offers generic mechanisms (pre-commit hook script, CLI `dir`/`git`/`stdin` scanning, CI action) that a user could wire into an AI coding agent's workflow to scan generated code before it lands, but there is no documented agent-specific integration (no MCP server, no Claude Code/Cursor plugin, no explicit guidance for AI-native pipelines). missing for 10: dedicated AI-agent integration docs, MCP/agent-hook examples, evidence of use specifically for AI-generated code review.
- [github] “You can run Gitleaks as a pre-commit hook by copying the example `pre-commit.py` script into your `.git/hooks/` directory.”
- [github] “You can also stream data to gitleaks with the `stdin` command. Example: `cat some_file | gitleaks -v stdin`”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files. Example: `gitleaks dir -v path_to_directory_or…”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
Ci gates
devops-leadRun scans in CI on every pull request and fail the build on new findings via exit codes
weight 3 · round to GitleaksEvidence confirms Snyk CLI is explicitly designed to run in CI/CD pipelines (snyk-gh-3, snyk-gh-7) and that `snyk test`/`snyk code test` reports vulnerabilities found (snyk-gh-4, snyk-gh-6), which is the standard mechanism CI systems use to gate builds. However, the pack has no explicit documentation of PR-trigger configuration or exit-code semantics for failing builds, and the probe shows the CLI requires authentication for every scan (snyk-probe-5), adding an operational caveat for CI setup. Missing for 10: explicit docs on PR-triggered CI workflows, documented exit-code behavior (e.g., non-zero on new findings), and any GitHub Actions/PR-check integration guide.
- [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…”
- [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…”
- [probe] “PROBE cli-scan (local run, macOS, snyk 1.1307.0): `snyk test <dir>` on a fixture with known-vulnerable lodash 4.17.15 exited 2 with "ERROR A…”
Gitleaks-Action enables scanning on GitHub PR workflows with alerts/comments, and the CLI's detect command exits non-zero on findings (shown by failed commit hook example), which is the mechanism CI systems use to fail builds. missing for 10: explicit documentation of CI-specific exit code semantics (e.g., non-zero exit on new findings vs baseline) and non-GitHub CI examples (GitLab/Jenkins) beyond the GitHub Action.
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “You can use it to automatically run a gitleaks scan on all your team's pull requests and commits, or run on-demand scans.”
- [github] “➜ git commit -m "this commit contains a secret" Detect hardcoded secrets.................................................Failed”
- [github] “After running the detect command with the --baseline-path parameter, report output (findings.json) will only contain new issues.”
- [github] “gitleaks will ignore any old findings that are present in the baseline”
developerSee scan findings surfaced as pull-request comments or checks in GitHub or GitLab
weight 2 · round to GitleaksDocs 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:”
Gitleaks-Action explicitly integrates into GitHub workflows and uses the GitHub API to post PR comments/reviews when secrets are detected, and it can also fail CI checks on findings; it's a well-documented first-party GitHub Action. Missing for 10: GitLab-specific MR comment/check integration is not evidenced (only GitHub is covered), and no independent/hands-on confirmation of the PR-comment behavior beyond vendor docs.
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [claimed-docs] “**gitleaks-action** uses this token to call [a GitHub API] to comment on PRs.”
- [claimed-docs] “**gitleaks-action** uses this token to call [a GitHub API](https://octokit.github.io/rest.js/v18#pulls-create-review-comment) to comment on …”
- [claimed-docs] “gitleaks-action uses this token to call a GitHub API to comment on PRs.”
- [claimed-docs] “A list of GitHub accounts that should be alerted when **gitleaks-action** detects a leak.”
- [claimed-docs] “Enable this **gitleaks-action** and copy `<img alt="gitleaks badge" src="https://img.shields.io/badge/protected%20by-gitleaks-blue">` to you…”
Pre commit
developerRun the scanner as a pre-commit hook so secrets and issues never enter my git history
weight 3 · round to GitleaksSnyknone0/10Evidence shows Snyk CLI can run locally, in IDEs, and in CI/CD pipelines, but there is no mention of a pre-commit hook integration, and Snyk's product line (SAST, SCA, container, IaC) does not include secrets scanning at all. Missing for 10: any documentation of a pre-commit hook workflow, and any secrets-detection capability.
- [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] “Snyk Code is a developer-first static application security testing (SAST) solution. By scanning code in real-time and providing actionable i…”
Gitleaks documents running as a pre-commit hook via the example pre-commit.py script copied into .git/hooks, and demonstrates it blocking a commit containing a secret ("git commit ... Detect hardcoded secrets.................................................Failed"), confirming secrets are caught before entering history. Missing for 10: no mention of official pre-commit-framework (.pre-commit-hooks.yaml) integration or independent hands-on confirmation beyond the vendor repo.
- [github] “You can run Gitleaks as a pre-commit hook by copying the example `pre-commit.py` script into your `.git/hooks/` directory.”
- [github] “➜ git commit -m "this commit contains a secret" Detect hardcoded secrets.................................................Failed”
- [github] “Detect hardcoded secrets.................................................Failed”
Coverage accuracy — stories about coverage accuracy in this arenaCoverage accuracy
Stories about coverage accuracy in this arena
Coverage
developerScan projects across all the major languages and package ecosystems my organization uses
weight 2 · round to SnykSnyk documents dedicated scanners spanning open-source dependencies (with indirect/transitive dependency detection), SAST (Snyk Code) across IDEs/repos/CI, container images, and IaC configs (Terraform, CloudFormation, Kubernetes, ARM), plus a CLI usable locally, in IDEs, and in CI/CD — collectively covering the major ecosystems a typical org would need. Community feedback raises accuracy/noise concerns (e.g., mismatched results vs npm audit, PR spam) but does not concretely dispute the breadth of language/ecosystem coverage itself. Missing for 10: an explicit enumerated list of supported languages/package managers and independent verification of coverage completeness across less-common ecosystems.
- [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 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…”
- [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] “Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (ARM) - for IDE, SCM, CLI, a…”
- [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.”
- [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.”
Gitleaks scans git repos, directories/files, and stdin using regex-based pattern matching, which is inherently language-agnostic and works on any text-based source file or config regardless of the language or package ecosystem in use. However, there is no explicit evidence of ecosystem-specific coverage claims, testing across specific language/package manager formats, or documentation asserting broad multi-language validation. missing for 10: explicit language/ecosystem coverage claims, evidence of testing across specific ecosystems (npm, pip, maven, etc.), independent corroboration of coverage breadth.
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “You can also stream data to gitleaks with the `stdin` command.”
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files. Example: `gitleaks dir -v path_to_directory_or…”
- [github] “You can also stream data to gitleaks with the `stdin` command. Example: `cat some_file | gitleaks -v stdin`”
Output formats
developerEmit scan results in machine-readable formats like JSON or SARIF for downstream tooling
weight 2 · round to GitleaksSnyknone0/10The evidence pack documents Snyk CLI's terminal reports, CI/CD integration, and various scan types, but never mentions JSON or SARIF output formats or any machine-readable export capability for downstream tooling. This is a fair and applicable axis for a security scanner, but no evidence confirms it.
- [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…”
- [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.”
Evidence shows Gitleaks writes findings to a JSON report file (e.g., findings.json via --baseline-path) confirming JSON output support, but there is no mention in the evidence pack of SARIF or other machine-readable formats. missing for 10: explicit SARIF output support, documentation of --report-format flag or other structured formats, independent confirmation of downstream tooling integration.
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
ai-native userRead the product's source under an open license
weight 2 · round to GitleaksSnyknone0/10Snyk is a proprietary SaaS security platform; only the CLI wrapper is on GitHub (snyk-gh-1..7) with no license text or claim of an open license provided in the evidence, and the core scanning engine, Snyk Code, DeepCode AI, and platform backend remain closed-source. No evidence pack item states an open-source license for any Snyk component, so the story is unmet. missing for 10: explicit open-source license (e.g., MIT/Apache) for the CLI repo, open-sourcing of core scanning/backend code, any statement of source availability for Snyk Code/DeepCode AI.
- [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…”
Gitleaks' source code is openly hosted and directly referenced across many citations (e.g. gitleaks-gh-1, gitleaks-probe-3), confirming it is a publicly readable GitHub repository that anyone, including AI-native users, can inspect. However, the evidence pack never explicitly cites a license file or license name (e.g. MIT), so full confirmation of an 'open license' designation is inferred rather than directly documented. Missing for 10: an explicit license statement/citation (e.g. LICENSE file content) and independent corroboration of the license terms.
ai-native userSelf-host the core product
weight 3 · round to GitleaksSnyknone0/10No evidence anywhere in the pack of a self-hosted/on-prem deployment option for Snyk's core scanning platform; instead, hands-on probe evidence shows the opposite — `snyk test` fails with a 401 Authentication error unless connected to Snyk's cloud, and the CLI/MCP server function as clients to a hosted backend, with only a 'Broker' for connecting on-prem SCM to Snyk's cloud (not a self-hosted core).
- [probe] “PROBE cli-scan (local run, macOS, snyk 1.1307.0): `snyk test <dir>` on a fixture with known-vulnerable lodash 4.17.15 exited 2 with "ERROR A…”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
- [claimed-docs] “GitHub - install and configure Snyk Broker”
- [claimed-docs] “GitLab - install and configure Snyk Broker:”
Gitleaks is a fully open-source CLI (installable via Homebrew, Docker, or Go) that runs entirely locally against git repos, directories, or stdin, requiring no cloud service — a clear self-hostable core product. Missing for 10: no explicit self-hosting deployment guide (e.g., server/container orchestration docs) beyond basic install instructions.
- [github] “Gitleaks can be installed using Homebrew, Docker, or Go.”
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “You can also stream data to gitleaks with the `stdin` command.”
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
ai-native userOpt out of telemetry and usage tracking
weight 2 · round drawnSnyknone0/10No evidence pack item discusses a telemetry/usage-tracking opt-out mechanism for Snyk CLI, IDE plugins, or MCP server; scans require authentication with a Snyk account (per snyk-probe-5), implying data is sent to Snyk servers, but no opt-out or privacy controls are documented.
Sast rules — stories about sast rules in this arenaSast rules
Stories about sast rules in this arena
Custom rules
security-engineerWrite custom static-analysis rules in a simple syntax and share them across repositories
weight 2 · round to GitleaksOnly one thin mention (writing custom queries with DeepCode AI logic and autocomplete) suggests any custom rule authoring, but there is no detail on the rule syntax, no evidence of how rules are structured or shared across repositories, and no mention of a rule-sharing/policy mechanism analogous to Semgrep-style custom SAST rules. Missing for 10: documented custom rule syntax/DSL, examples of custom rules, and a clear cross-repo sharing/config mechanism.
- [claimed-docs] “Write your own queries using DeepCode AI logic (with autocomplete) and leverage the hybrid AI to instantly find matches in your code.”
- [claimed-docs] “DeepCode AI supports Snyk’s context-aware risk scoring, assessing the popularity of the affected package and the reachability of vulnerable …”
Gitleaks documents a TOML-based config format for writing custom secret-detection rules, including composite rules and allowlists, and this config can be centralized as a `gitleaks.toml` or referenced via `GITLEAKS_CONFIG` so it can be reused across repos (e.g. gitleaks-action auto-detecting it). This is more of a config-file sharing mechanism than a purpose-built 'rule sharing' feature, and there's no independent corroboration of ease-of-use or a rule marketplace/registry. Missing for 10: independent hands-on evidence of rule syntax simplicity, evidence of a shared rule registry/marketplace, and confirmation of seamless cross-repo rule versioning.
- [github] “Gitleaks offers a configuration format you can follow to write your own secret detection rules”
- [github] “Gitleaks introduced composite rules, which are made up of a single "primary" rule and one or more auxiliary or `required` rules.”
- [github] “In v8.28.0 Gitleaks introduced composite rules, which are made up of a single "primary" rule and one or more auxiliary or `required` rules.”
- [github] “You can define multiple allowlists for a rule to reduce false positives. A finding will be ignored if _ANY_ [[rules.allowlists]] matches.”
- [claimed-docs] “You can use `GITLEAKS_CONFIG` to explicitly set a config path _or_ create a `gitleaks.toml` at the root of the repo which will be automatica…”
- [claimed-docs] “you can use GITLEAKS_CONFIG to explicitly set a config path or create a gitleaks.toml at the root of the repo which will be automatically de…”
Fix suggestions
developerApply suggested or automatic code fixes for findings instead of only reading reports
weight 2 · round to SnykSnykdisputedcontradicted6/10Snyk's docs document multiple concrete fix-application paths beyond reporting: PR-based fix workflows for open-source (snyk-docs-21), suggested-fix ignore/config (snyk-docs-5), IaC 'fix advice... make changes directly to code' (snyk-docs-34), and newer agentic tooling — Remediation Agent that 'applies the fixes and verifies the result', `snyk fix --agentic`, and `/snyk-fix`/`/snyk-batch-fix` slash commands (snyk-docs-12,13,23,29,30) plus DeepCode AI's '85%-accurate security autofixes' (snyk-docs-14). However, independent hands-on community feedback specifically on the PR-based auto-fix workflow contradicts vendor claims of quality: a developer reports being 'very disappointed with their PR tools' to the point of disabling automated PRs, saying Dependabot is '100x better to work with' (snyk-comm-6), and another calls the appsec/PR tooling 'not worth it' after a demo (snyk-comm-12). missing for 10: independent verification that the newer Remediation Agent/agentic autofix and SAST/IaC suggested-fix mechanisms (as opposed to the older PR-fix flow) actually work reliably in practice, and resolution of the direct community contradiction on fix-PR quality.
- [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
- [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
- [claimed-docs] “Write secure configurations for HashiCorp Terraform, AWS CloudFormation, Kubernetes, and Azure Resource Manager (ARM)... View issues and rec…”
- [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…”
- [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] “DeepCode AI powers 85%-accurate security autofixes and comprehensive app coverage, letting developers build fast while staying secure.”
- [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] “Dependabot doesn't work well for a Fortune 50 company... Snyk like most security tools lacks perspective that takes business and how product…”
Gitleaksnone0/10Gitleaks is purely a secret-detection tool that reports findings (via CLI, git hooks, or gitleaks-action PR comments); no evidence anywhere in the pack of suggested or automatic remediation/fixes for detected secrets—only detection, alerting, allowlisting, and baseline suppression are described.
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
- [github] “You can define multiple allowlists for a rule to reduce false positives. A finding will be ignored if _ANY_ [[rules.allowlists]] matches.”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
- [github] “After running the detect command with the --baseline-path parameter, report output (findings.json) will only contain new issues.”
Secret detection — stories about secret detection in this arenaSecret detection
Stories about secret detection in this arena
Custom detection
security-engineerDefine custom detection rules for my organization's internal token and secret formats
weight 2 · round to GitleaksSnyknone0/10The evidence pack covers Snyk's SAST, SCA, container, IaC, and agentic remediation features but contains no mention of secret detection or custom secret/token pattern rules; the story requires a capability not evidenced anywhere in the pack.
Gitleaks documents a configuration format for writing custom secret-detection rules, plus advanced features like composite rules and allowlists to reduce false positives, directly enabling org-specific token/secret pattern definitions. Missing for 10: no independent hands-on example of a custom rule being validated in production, and no dedicated deep-dive docs beyond the config-format mention.
- [github] “Gitleaks offers a configuration format you can follow to write your own secret detection rules”
- [github] “Gitleaks introduced composite rules, which are made up of a single "primary" rule and one or more auxiliary or `required` rules.”
- [github] “In v8.28.0 Gitleaks introduced composite rules, which are made up of a single "primary" rule and one or more auxiliary or `required` rules.”
- [github] “You can define multiple allowlists for a rule to reduce false positives. A finding will be ignored if _ANY_ [[rules.allowlists]] matches.”
- [github] “Gitleaks introduced composite rules, which are made up of a single "primary" rule and one or more auxiliary or required rules.”
Secret scanning
developerScan a repository and its full git history for hardcoded secrets and credentials
weight 3 · round to GitleaksSnyknone0/10The evidence pack covers Snyk Open Source (dependency vulnerabilities), Snyk Code (SAST), Snyk Container, and Snyk IaC, but contains no mention of secret/credential detection or git-history scanning for hardcoded secrets. This is a fair capability to expect from an AppSec scanning platform, but no evidence shows Snyk offers it.
- [claimed-docs] “Scan, prioritize, and fix vulnerabilities in your code, open-source dependencies, container images, and cloud configurations.”
- [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 Open Source allows you to find and fix vulnerabilities in the open-source libraries used by your applications.”
- [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…”
Gitleaks' `git` command explicitly scans full git history via `git log -p`, and `dir`/`stdin` commands cover directory/file/stdin scanning for secrets like passwords, API keys, and tokens, with hands-on example output showing detection working. missing for 10: no independent third-party benchmark of detection accuracy across large real-world repos.
- [github] “The `git` command lets you scan local git repos. Under the hood, gitleaks uses the `git log -p` command to scan patches.”
- [github] “The `git` command lets you scan local git repos.”
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
- [github] “➜ git commit -m "this commit contains a secret" Detect hardcoded secrets.................................................Failed”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files. Example: `gitleaks dir -v path_to_directory_or…”
security-engineerScan non-git sources like S3 buckets, Docker images, and CI logs for leaked secrets
weight 2 · round drawnSnyknone0/10Snyk's evidence pack covers SAST, SCA, container/image vulnerability scanning, IaC scanning, and AI-code-assist security, but there is no mention anywhere of secret-detection scanning of non-git sources such as S3 buckets, standalone Docker images for embedded secrets, or CI logs. The container scanning focus is vulnerabilities, not leaked secrets, so this axis is unaddressed.
Gitleaksnone0/10Gitleaks supports scanning git repos, directories/files, and stdin, but there is no evidence of native support for scanning S3 buckets, Docker images, or CI logs as distinct source types; stdin streaming could theoretically pipe in arbitrary data but no documentation or examples confirm scanning these non-git sources.
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “You can also stream data to gitleaks with the `stdin` command.”
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
security-engineerHave detected secrets verified against the issuing service so I know which ones are live
weight 2 · round drawnSnyknone0/10The evidence pack covers Snyk's SAST, SCA, container, IaC, and agentic remediation capabilities, but there is no mention of secret detection at all, let alone verifying detected secrets against issuing services to determine liveness. No product feature for secrets scanning or validation is documented anywhere in this pack.
Triage noise — stories about triage noise in this arenaTriage noise
Stories about triage noise in this arena
Ai triage
ai-native userUse AI to triage findings — explaining them, deduplicating, and flagging likely false positives
weight 3 · round to SnykSnyk documents AI-driven risk scoring (reachability, exploit maturity, popularity) and a Remediation Agent that scans, explains, and applies fixes, which supports explaining/prioritizing findings, but there is no explicit evidence of AI-based deduplication of findings or automated false-positive flagging — only manual 'ignore' suppression is documented. Community feedback (snyk-comm-10) also notes that legacy alerts remain largely 'noise' without context-aware triage, tempering confidence in how well false positives are actually filtered. Missing for 10: explicit deduplication feature, explicit AI false-positive detection/flagging, and independent hands-on confirmation that noise is meaningfully reduced.
- [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] “The Remediation Agent is an LLM-driven tool that automates vulnerability remediation in your projects. It scans your Project with Snyk, gene…”
- [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
- [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…”
Gitleaksnone0/10No evidence of any AI-based triage, explanation, deduplication, or false-positive flagging feature; Gitleaks only offers manual allowlists, baselines, and composite rules for reducing noise, none of which use AI.
- [github] “You can define multiple allowlists for a rule to reduce false positives. A finding will be ignored if _ANY_ [[rules.allowlists]] matches.”
- [github] “When using a baseline, gitleaks will ignore any old findings that are present in the baseline.”
- [github] “After running the detect command with the --baseline-path parameter, report output (findings.json) will only contain new issues.”
- [probe] “PROBE llms.txt: HTTP 404 at https://gitleaks.io/llms.txt”
- [probe] “PROBE openapi: all candidate paths 404 (https://gitleaks.io/openapi.json, https://gitleaks.io/swagger.json, https://gitleaks.io/api/openapi.…”
Fp management
security-engineerBaseline or ignore existing and false-positive findings so only new issues alert
weight 3 · round to GitleaksSnyk docs mention configuring Snyk to ignore suggested fixes to suppress specific warnings (snyk-docs-5) and 'Policy management' as a platform capability (snyk-docs-32), which map to ignoring/baselining findings so only new issues surface. However, there's no detailed evidence of a dedicated baseline/false-positive triage workflow, ignore-policy scope (temporary vs permanent, org-wide), or CLI/API commands for it. missing for 10: explicit baseline scan feature, false-positive marking UI/API, ignore policy scoping and audit trail, independent confirmation of noise reduction effectiveness.
- [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
- [claimed-docs] “Policy management”
Gitleaks explicitly supports baseline files via --baseline-path so only new findings appear in reports, and allowlists let users suppress known false positives per-rule. This directly matches the triage-noise story of ignoring existing/false-positive findings so only new issues alert. Missing for 10: no evidence of a centralized/dashboard-based suppression workflow or independent third-party validation of baseline accuracy at scale.
- [github] “When using a baseline, gitleaks will ignore any old findings that are present in the baseline.”
- [github] “After running the detect command with the --baseline-path parameter, report output (findings.json) will only contain new issues.”
- [github] “gitleaks will ignore any old findings that are present in the baseline”
- [github] “You can define multiple allowlists for a rule to reduce false positives. A finding will be ignored if _ANY_ [[rules.allowlists]] matches.”
developerFilter and gate on findings by severity or confidence so low-value noise does not block builds
weight 2 · round to SnykDocs show severity reporting per issue (snyk-gh-6), risk-based prioritization scoring (snyk-docs-4, snyk-docs-17, snyk-docs-36), policy management (snyk-docs-32), and the ability to ignore/suppress specific findings (snyk-docs-5), which together support filtering low-value noise. However, there is no explicit documentation of a CI/CD severity-threshold gate flag or confidence-level filtering mechanism in the evidence pack. Missing for 10: explicit severity-threshold CLI/CI gating docs, confidence-score filtering mechanism, independent hands-on verification of gating behavior.
- [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] “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] “Risk-based prioritization – – Reporting dashboard”
- [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] “Policy management”
- [claimed-docs] “Configure Snyk to ignore suggested fixes for an issue to suppress specific warnings.”
Gitleaksnone0/10Gitleaks evidence shows allowlists to suppress false positives and baseline diffing to ignore old findings, but there is no mention of a severity or confidence scoring/classification system, nor any flag to gate builds based on such levels. This axis is a fair ask for a secret-scanning tool but the evidence pack shows no severity/confidence triage mechanism.
- [github] “You can define multiple allowlists for a rule to reduce false positives. A finding will be ignored if _ANY_ [[rules.allowlists]] matches.”
- [github] “When using a baseline, gitleaks will ignore any old findings that are present in the baseline.”
- [github] “After running the detect command with the --baseline-path parameter, report output (findings.json) will only contain new issues.”
Not comparable on these axes
ai-native userPlug MCP servers into this product so it can use their tools
weight 3 · not comparableSnyknone0/10All MCP-related evidence describes Snyk shipping its own local MCP server (snyk-docs-28, snyk-probe-3, snyk-probe-6) so other agents/IDEs can call Snyk's tools — this is Snyk acting as an MCP tool provider, not as a client that plugs in external MCP servers to use their tools. There is no evidence that Snyk's Remediation Agent, Snyk Studio, or CLI can consume/connect to third-party MCP servers.
- [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 mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
- [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] “prompt your coding agent with natural language, for example, "scan my directory for security issues".”
ai-native userConnect an agent via an official MCP server
weight 3 · not comparableSnyk documents an official local MCP server (Snyk Studio/MCP server running via the CLI) that lets coding agents connect and be prompted with natural language to scan for security issues, and a hands-on probe confirms the CLI actually responds to a JSON-RPC MCP handshake exposing tools/prompts/resources. missing for 10: independent third-party corroboration of MCP client interoperability across multiple agents, and clearer documentation on authentication requirements for the MCP server itself.
- [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.”
- [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
ai-native userIssue scoped/least-privilege API credentials for an agent
weight 2 · not comparableSnyknone0/10No evidence describes scoped or least-privilege API credentials/tokens for AI agents; the only authentication evidence shows the CLI/MCP server requiring a standard Snyk account/API token with no mention of granular scopes or agent-specific permission levels. missing for 10: any documentation of scoped API tokens, role/permission-limited credentials, or agent-specific least-privilege auth mechanisms.
- [probe] “PROBE cli-scan (local run, macOS, snyk 1.1307.0): `snyk test <dir>` on a fixture with known-vulnerable lodash 4.17.15 exited 2 with "ERROR A…”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
ai-native userBuild against official SDKs
weight 2 · not comparableSnyknone0/10The evidence pack shows Snyk's CLI, MCP server, and various product scanners, but contains no mention of an official SDK (e.g., Python, Node, Java client libraries) for programmatic integration, and a probe for an OpenAPI/swagger spec returned 404s, indicating no discoverable official API SDK.
- [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…”
- [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] “The Snyk MCP Server is designed as a local MCP server, running on your system using the Snyk CLI to ensure local file access.”
ai-native userDelegate tasks to a built-in AI assistant inside the product
weight 3 · not comparableSnyk ships a documented built-in AI 'Remediation Agent' that scans a project, generates and applies a fix plan, and verifies results directly inside the coding assistant or CLI (snyk-docs-12/13/23/29/30), backed by DeepCode AI-driven autofixes (snyk-docs-14/15/36) and a local MCP server confirmed to actually start and respond via handshake (snyk-probe-6). This goes beyond simple scanning to actual task delegation to an in-product AI agent. Missing for 10: independent/hands-on evidence validating the remediation agent's real-world fix quality/success rate (only vendor-claimed 85% accuracy), and no third-party review of the delegation UX 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] “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] “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] “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] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
- [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 …”
ai-native userOperate the product with natural-language commands
weight 2 · not comparableSnyk documents an MCP server and 'Snyk Studio' agentic workflow where users prompt coding agents in natural language (e.g., 'scan my directory for security issues'), plus slash-style commands (/snyk-fix, /snyk-batch-fix) and an LLM-driven Remediation Agent that plans and applies fixes autonomously. A hands-on probe confirms the MCP server actually starts and responds to JSON-RPC initialize, corroborating the documented natural-language/agentic workflow beyond marketing claims. Missing for 10: broader independent (non-Snyk) user reports specifically validating natural-language command accuracy/reliability in real projects.
- [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] “prompt your coding agent with natural language, for example, "scan my directory for security issues".”
- [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] “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.”
- [probe] “official MCP server documented at https://docs.snyk.io/agent-security/agentic-security-with-snyk-studio/getting-started-with-snyk-studio”
- [probe] “PROBE mcp-handshake (local run): `snyk mcp -t stdio` answered a JSON-RPC initialize with serverInfo {"name":"Snyk MCP Server","version":"1.1…”
Gitleaksn/aGitleaks is a CLI secret-scanning tool operated via fixed subcommands and flags, not through natural-language instructions; no evidence of NL interface, and the category (a static analysis scanner) does not conceivably support conversational/agentic command input as a core product axis.
ai-native userTest against a sandbox environment without touching production data
weight 1 · not comparableSnyknone0/10No evidence describes a dedicated sandbox/test environment isolated from production data; Snyk's CLI, remediation agent, and MCP server all operate directly on the user's local project or repository, and no docs mention an explicit non-production sandbox mode for AI-native agent testing.
ai-native userVersion, review, and roll back my automations
weight 1 · not comparableSnyknone0/10Snyk 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.
devops-leadScan container images for OS-package and application-layer vulnerabilities before deploying them
weight 3 · not comparableSnyk 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…”
devops-leadScan Terraform, Kubernetes, and other IaC files for security misconfigurations
weight 2 · not comparableSnyk IaC explicitly documents scanning Terraform, CloudFormation, Kubernetes, and Azure ARM configs for misconfigurations across IDE, SCM, CLI, and CI workflows, plus drift detection for manually-created cloud resources. This is corroborated by CLI docs and the general Snyk platform overview listing cloud configuration scanning as a core capability. Missing for 10: independent hands-on validation of IaC scan accuracy/false-positive rates and no direct probe confirming `snyk iac test` output.
- [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] “Scan, prioritize, and fix vulnerabilities in your code, open-source dependencies, container images, and cloud configurations.”
developerGet concrete upgrade paths or automated fix pull requests that remediate vulnerable dependencies
weight 2 · not comparableSnykdisputedcontradicted5/10Snyk docs claim actionable fix advice and automated PR-based remediation workflows (snyk-docs-21), reinforced by CLI fix guidance (snyk-gh-6) and newer agentic 'snyk fix --agentic'/Remediation Agent features (snyk-docs-12, snyk-docs-13, snyk-docs-29). However, hands-on community reports concretely contradict the automated-PR experience: users describe disappointment with the PR tool generating dozens/hundreds of noisy PRs instead of proper rewrites, missing whole version bumps, and disabling the feature entirely in favor of Dependabot (snyk-comm-6, snyk-comm-11). missing for 10: independent verification that the newer agentic/Remediation Agent fix-PR flow resolves these historically reported PR-quality issues, and quantitative data on fix-PR success/merge rates.
- [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.”
- [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] “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…”
Gitleaksn/aGitleaks is a secrets-detection tool that scans for hardcoded credentials; it does not analyze software dependencies for known vulnerabilities (SCA) and has no concept of dependency upgrade paths or fix PRs. This story belongs to the dependency-SCA product category, not a secrets scanner.
developerScan my dependency manifests and lockfiles for packages with known vulnerabilities
weight 3 · not comparableSnyk Open Source is documented extensively as a dependency/manifest/lockfile scanner for known vulnerabilities, including indirect dependencies, with CLI (`snyk test`) and CI/IDE integration, actionable fix advice, and PR-based remediation (snyk-docs-1,19,20,21,27; snyk-gh-1,2,4,6). Hands-on probes confirm the CLI scan functionality actually works end-to-end (reporting severity, path, fix guidance) and community reports corroborate real-world usage, though some users note noisy/low-value alerts and mismatches with npm audit. missing for 10: independent benchmark data on false-positive rate, and confirmation of coverage across all lockfile formats (e.g., poetry.lock, Gemfile.lock) beyond npm examples.
- [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 Open Source can also scan your Projects for license compliance, checking against licenses known to Snyk.”
- [claimed-docs] “Snyk provides actionable fix advice for vulnerabilities and supports workflows to fix vulnerabilities using pull requests.”
- [claimed-docs] “By using Snyk Open Source, you can reduce the risks introduced by open-source components.”
- [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] “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…”
- [community] “It's a good tool, and from what I can tell, the free version is probably enough for most small teams or sole developers. The main benefit of…”
- [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.”
- [probe] “PROBE cli-scan (local run, macOS, snyk 1.1307.0): `snyk test <dir>` on a fixture with known-vulnerable lodash 4.17.15 exited 2 with "ERROR A…”
security-engineerPrioritize dependency alerts by whether the vulnerable code is actually reachable from my code
weight 2 · not comparableSnyk'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.”
Gitleaksn/aGitleaks is a secrets-detection tool that scans git history, files, and streams for hardcoded credentials; it has no dependency/SCA vulnerability scanning or code-reachability analysis capability. Reachability-based prioritization of dependency alerts is a different product category (SCA tooling) and is a category error for this product.
ai-native userDo everything through the API that I can do in the UI
weight 2 · not comparableSnyknone0/10The evidence pack contains no documentation of a public Snyk API offering feature parity with the UI/CLI; the only probe for an OpenAPI spec returned 404s at all candidate locations, and all other evidence focuses on CLI, IDE, MCP, and UI-based workflows rather than a comprehensive API surface for AI-native/programmatic use.
- [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…”
- [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.”
Gitleaksn/aGitleaks is a CLI/GitHub Action tool with no web UI or API surface to compare against; probes confirm no OpenAPI/llms.txt exposed, and all documented interaction is via CLI commands or CI action config, not a UI/API pair.
ai-native userExport all of my data in open formats and leave
weight 3 · not comparableSnyknone0/10Evidence shows Snyk can export individual issues to Jira and CLI scan reports print to terminal, but there is no documentation of a comprehensive data export feature (projects, scan history, findings) in open/portable formats, nor any account-deletion/data-portability guidance for users wanting to leave the platform.
- [claimed-docs] “Track and export Snyk issues to your Jira project.”
- [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…”
Gitleaksn/aGitleaks is a local/CLI secret-scanning tool with no proprietary data store or SaaS account holding user data — findings and configs are already local, open-format files (JSON/TOML), so there is no vendor lock-in or 'export and leave' scenario to evaluate; this axis is a category error for this kind of tool.
ai-native userChoose where my data is stored (region/residency)
weight 2 · not comparableSnyknone0/10No evidence in the pack addresses data residency, regional storage options, or data location controls for Snyk's platform or AI features.
ai-native userPrevent my data from being used to train AI models
weight 3 · not comparableSnyknone0/10The evidence pack contains no documentation of an opt-out or data-usage policy specifically preventing customer code/data from being used to train Snyk's AI models (DeepCode AI, Remediation Agent, MCP-based agents). The only related evidence is a general licensing clause granting Snyk broad rights to uploaded content (snyk-comm-13), which if anything raises concern rather than confirming a training opt-out. Since Snyk processes source code via AI features, this axis clearly applies, but no capability or setting addressing AI-training data use is evidenced.
- [community] “From their policies page: 'by uploading or posting content to the Platform and providing access to your system's source code repository, you…”
ai-native userControl data retention and deletion
weight 2 · not comparableSnyknone0/10No evidence pack item documents Snyk offering configurable data-retention windows or a user-initiated deletion mechanism for scanned code/data; the only tangential evidence is a community citation noting Snyk's terms grant it a broad, perpetual license to uploaded source code, which runs counter to user control over retention rather than supporting it. missing for 10: documented retention policy/settings, data deletion request workflow, DPA/GDPR deletion tooling, any first-party privacy-controls page.
- [community] “From their policies page: 'by uploading or posting content to the Platform and providing access to your system's source code repository, you…”
Gitleaksn/aGitleaks is a local/CI scanning CLI (and GitHub Action) that does not collect or retain user data on vendor servers; there is no data-retention/deletion surface to control, so this privacy-posture axis does not apply to this product category.
- [github] “The `git` command lets you scan local git repos.”
- [github] “The `dir` (aliases include `files`, `directory`) command lets you scan directories and files.”
- [github] “You can also stream data to gitleaks with the `stdin` command.”
- [claimed-docs] “Enable **Gitleaks-Action** in your GitHub workflows to be alerted when secrets are leaked as soon as they happen.”
ai-native userHave AI draft remediation pull requests for security findings that I review and merge
weight 2 · not comparableSnykdisputedcontradicted4/10Snyk 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 …”
security-engineerDetect taint-style vulnerabilities that flow across files and function boundaries
weight 2 · not comparableSnyk 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`.”
developerRun static analysis that finds vulnerability classes like injection and XSS in my source code
weight 3 · not comparableSnyk Code is explicitly documented as a developer-first SAST solution that scans source code in real-time across IDEs, repos, and CI/CD, with source-to-sink flow visualization and CLI support (`snyk code test`) confirming actual static analysis capability. While injection/XSS are common SAST vulnerability classes, the evidence doesn't explicitly name these specific classes as detected, and community feedback focuses mostly on Open Source/dependency scanning rather than Snyk Code's SAST accuracy for these specific vuln types. Missing for 10: explicit mention of injection/XSS as detected vulnerability classes, independent hands-on verification of SAST rule coverage/accuracy for these specific classes.
- [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`.”
Gitleaksn/aGitleaks is exclusively a secrets-detection tool (passwords, API keys, tokens); it does not perform SAST for vulnerability classes like injection or XSS, which is an entirely different product category.
- [github] “Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it v…”
devops-leadDetect the licenses of my dependencies and enforce a license policy in scans
weight 1 · not comparableSnyk Open Source explicitly scans dependency licenses for compliance against known licenses (snyk-docs-20), and the platform advertises general 'Policy management' features (snyk-docs-32), implying license policy enforcement capability. However, the evidence never details concrete license-policy enforcement mechanics (e.g., failing builds/PRs on license violations, custom license policy rules) and lacks independent/hands-on corroboration of this specific workflow. Missing for 10: explicit enforcement workflow details (build/PR gating on license violations), documented custom license policy configuration, and independent confirmation of license-policy enforcement in practice.
- [claimed-docs] “Snyk Open Source can also scan your Projects for license compliance, checking against licenses known to Snyk.”
- [claimed-docs] “Policy management”
- [claimed-docs] “By using Snyk Open Source, you can reduce the risks introduced by open-source components.”
security-engineerGenerate a software bill of materials (SPDX or CycloneDX) for my project or image
weight 2 · not comparableSnyknone0/10The evidence pack contains no mention of SBOM generation, SPDX, or CycloneDX anywhere across Snyk's docs, CLI, or MCP materials — only vulnerability scanning, fixing, and prioritization features are documented. Missing for 10: any documentation or CLI command output referencing SBOM export, SPDX format, or CycloneDX format.