Rank #5 of 6 in Security Scanners
Showcase


Try itExperimental
See what an agent can do with Snyk before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$snyk --versionrecorded session — replayed, not liveVerified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Ci precommit — stories about ci precommit in this arenaCi precommitevidence →
Stories about ci precommit in this arena
Container scanning — stories about container scanning in this arenaContainer scanningevidence →
Stories about container scanning in this arena
Coverage accuracy — stories about coverage accuracy in this arenaCoverage accuracyevidence →
Stories about coverage accuracy in this arena
Dependency sca — stories about dependency sca in this arenaDependency scaevidence →
Stories about dependency sca in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Sast rules — stories about sast rules in this arenaSast rulesevidence →
Stories about sast rules in this arena
Secret detection — stories about secret detection in this arenaSecret detectionevidence →
Stories about secret detection in this arena
Supply chain sbom — stories about supply chain sbom in this arenaSupply chain sbomevidence →
Stories about supply chain sbom in this arena
Triage noise — stories about triage noise in this arenaTriage noiseevidence →
Stories about triage noise in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 1 free · 0 paid · 0 enterprise · 25 not stated in evidence
Follow the green: where the map greys out is where Snyk stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
—0/10
Subscribe to events via webhooks
—–
Build against official SDKs
—0/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—–
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
✓7/10
unlocks → MCP client
Operate the product with natural-language commands
✓8/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
✓7/10
Set up automations that run autonomously in the background
~6/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Ci precommit — stories about ci precommit in this arenaCi precommit
Stories about ci precommit in this arena
Container scanning — stories about container scanning in this arenaContainer scanning
Stories about container scanning in this arena
Coverage accuracy — stories about coverage accuracy in this arenaCoverage accuracy
Stories about coverage accuracy in this arena
Dependency sca — stories about dependency sca in this arenaDependency sca
Stories about dependency sca in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Sast rules — stories about sast rules in this arenaSast rules
Stories about sast rules in this arena
Secret detection — stories about secret detection in this arenaSecret detection
Stories about secret detection in this arena
Supply chain sbom — stories about supply chain sbom in this arenaSupply chain sbom
Stories about supply chain sbom in this arena
Triage noise — stories about triage noise in this arenaTriage noise
Stories about triage noise in this arena
Sorted by importance (agentic first) (high → low) · 55/55 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 7/10 | Tprobed | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 9/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Cclaimed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Tprobed | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Xcommunity | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ⚿ | |
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | untested | none yet | |
Run static analysis that finds vulnerability classes like injection and XSS in my source code C Code analysis | developer | Sast rules — stories about sast rules in this arenaSast rules | 3 | full | 8/10 | Cclaimed | |
Scan my dependency manifests and lockfiles for packages with known vulnerabilities C Sca scanning | developer | Dependency sca — stories about dependency sca in this arenaDependency sca | 3 | fullfree | 8/10 | Tprobed⚿ | |
Scan container images for OS-package and application-layer vulnerabilities before deploying them C Containers | devops-lead | Container scanning — stories about container scanning in this arenaContainer scanning | 3 | full | 7/10 | Xcommunity | |
Run scans in CI on every pull request and fail the build on new findings via exit codes C Ci gates | devops-lead | Ci precommit — stories about ci precommit in this arenaCi precommit | 3 | partial | 6/10 | Tprobed⚿ | |
Baseline or ignore existing and false-positive findings so only new issues alert C Fp management | security-engineer | Triage noise — stories about triage noise in this arenaTriage noise | 3 | partial | 5/10 | Cclaimed | |
Have an agent run a scan headlessly via the CLI, parse machine-readable results, and file issues for real findings G Agent scanning | ai-native user | Ci precommit — stories about ci precommit in this arenaCi precommit | 3 | partial | 5/10 | Tprobed⚿ | |
Use AI to triage findings — explaining them, deduplicating, and flagging likely false positives C Ai triage | ai-native user | Triage noise — stories about triage noise in this arenaTriage noise | 3 | partial | 5/10 | Xcommunity | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 4/10 | Xcommunity | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | 0/10 | ||
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | 0/10 | ||
Run the scanner as a pre-commit hook so secrets and issues never enter my git history C Pre commit | developer | Ci precommit — stories about ci precommit in this arenaCi precommit | 3 | none | 0/10 | ||
Scan a repository and its full git history for hardcoded secrets and credentials C Secret scanning | developer | Secret detection — stories about secret detection in this arenaSecret detection | 3 | none | 0/10 | ||
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | 0/10 | ⚿ | |
Wire the scanner into my coding agent so AI-generated code is scanned for issues before it lands C Agent scanning | ai-native user | Ci precommit — stories about ci precommit in this arenaCi precommit | 2 | full | 9/10 | Tprobed | |
Scan Terraform, Kubernetes, and other IaC files for security misconfigurations C Iac misconfig | devops-lead | Container scanning — stories about container scanning in this arenaContainer scanning | 2 | full | 8/10 | Cclaimed | |
Detect taint-style vulnerabilities that flow across files and function boundaries C Code analysis | security-engineer | Sast rules — stories about sast rules in this arenaSast rules | 2 | full | 7/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | full | 7/10 | Xcommunity | |
Scan projects across all the major languages and package ecosystems my organization uses C Coverage | developer | Coverage accuracy — stories about coverage accuracy in this arenaCoverage accuracy | 2 | full | 7/10 | Xcommunity | |
Apply suggested or automatic code fixes for findings instead of only reading reports C Fix suggestions | developer | Sast rules — stories about sast rules in this arenaSast rules | 2 | disputed | 6/10 | Dcontradicted | |
Filter and gate on findings by severity or confidence so low-value noise does not block builds C Fp management | developer | Triage noise — stories about triage noise in this arenaTriage noise | 2 | partial | 6/10 | Cclaimed | |
Prioritize dependency alerts by whether the vulnerable code is actually reachable from my code C Sca scanning | security-engineer | Dependency sca — stories about dependency sca in this arenaDependency sca | 2 | partial | 6/10 | Cclaimed | |
Get concrete upgrade paths or automated fix pull requests that remediate vulnerable dependencies C Dependency fixes | developer | Dependency sca — stories about dependency sca in this arenaDependency sca | 2 | disputed | 5/10 | Dcontradicted | |
See scan findings surfaced as pull-request comments or checks in GitHub or GitLab C Ci gates | developer | Ci precommit — stories about ci precommit in this arenaCi precommit | 2 | partial | 5/10 | Cclaimed | |
Have AI draft remediation pull requests for security findings that I review and merge C Ai remediation | ai-native user | Sast rules — stories about sast rules in this arenaSast rules | 2 | disputed | 4/10 | Dcontradicted | |
Write custom static-analysis rules in a simple syntax and share them across repositories C Custom rules | security-engineer | Sast rules — stories about sast rules in this arenaSast rules | 2 | partial | 3/10 | Cclaimed | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | 0/10 | ||
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | 0/10 | ||
Emit scan results in machine-readable formats like JSON or SARIF for downstream tooling C Output formats | developer | Coverage accuracy — stories about coverage accuracy in this arenaCoverage accuracy | 2 | none | 0/10 | ||
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | 0/10 | ||
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Define custom detection rules for my organization's internal token and secret formats C Custom detection | security-engineer | Secret detection — stories about secret detection in this arenaSecret detection | 2 | none | untested | none yet | |
Generate a software bill of materials (SPDX or CycloneDX) for my project or image C Sbom | security-engineer | Supply chain sbom — stories about supply chain sbom in this arenaSupply chain sbom | 2 | none | untested | none yet | |
Have detected secrets verified against the issuing service so I know which ones are live C Secret scanning | security-engineer | Secret detection — stories about secret detection in this arenaSecret detection | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Scan non-git sources like S3 buckets, Docker images, and CI logs for leaked secrets C Secret scanning | security-engineer | Secret detection — stories about secret detection in this arenaSecret detection | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Detect the licenses of my dependencies and enforce a license policy in scans C Licenses | devops-lead | Supply chain sbom — stories about supply chain sbom in this arenaSupply chain sbom | 1 | partial | 6/10 | Cclaimed | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 37 stories with headroom
What would move Snyk’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
All 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.
Agenticness — how well agents can access and operate the productDrive the product through a documented public API
nonemoves agent-readyimpact 45
The 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.
Secret detection — stories about secret detection in this arenaScan a repository and its full git history for hardcoded secrets and credentials
nonemoves PA Scoreimpact 30
The 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.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
Evidence 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.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
No 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).
Ci precommit — stories about ci precommit in this arenaRun the scanner as a pre-commit hook so secrets and issues never enter my git history
nonemoves PA Scoreimpact 30
Missing: any documentation of a pre-commit hook workflow, and any secrets-detection capability.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
The 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).
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Missing: any documentation of scoped API tokens, role/permission-limited credentials, or agent-specific least-privilege auth mechanisms.
Showing the top 8 of 37 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map11 surfaces · 29 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
Scan fix and prevent docs25 stories
- Run the product headlessly / in CI for automation
- Use an official CLI
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Have an agent run a scan headlessly via the CLI, parse machine-readable results, and file issues for real findings
- Wire the scanner into my coding agent so AI-generated code is scanned for issues before it lands
- See scan findings surfaced as pull-request comments or checks in GitHub or GitLab
- Scan container images for OS-package and application-layer vulnerabilities before deploying them
- Scan Terraform, Kubernetes, and other IaC files for security misconfigurations
- Scan projects across all the major languages and package ecosystems my organization uses
- Get concrete upgrade paths or automated fix pull requests that remediate vulnerable dependencies
- Scan my dependency manifests and lockfiles for packages with known vulnerabilities
- Prioritize dependency alerts by whether the vulnerable code is actually reachable from my code
- Have AI draft remediation pull requests for security findings that I review and merge
- Detect taint-style vulnerabilities that flow across files and function boundaries
- Run static analysis that finds vulnerability classes like injection and XSS in my source code
- Apply suggested or automatic code fixes for findings instead of only reading reports
- Detect the licenses of my dependencies and enforce a license policy in scans
- Use AI to triage findings — explaining them, deduplicating, and flagging likely false positives
- Baseline or ignore existing and false-positive findings so only new issues alert
- Filter and gate on findings by severity or confidence so low-value noise does not block builds
GitHub README12 stories
- Run the product headlessly / in CI for automation
- Use an official CLI
- Set up automations that run autonomously in the background
- Have an agent run a scan headlessly via the CLI, parse machine-readable results, and file issues for real findings
- Run scans in CI on every pull request and fail the build on new findings via exit codes
- See scan findings surfaced as pull-request comments or checks in GitHub or GitLab
- Scan projects across all the major languages and package ecosystems my organization uses
- Get concrete upgrade paths or automated fix pull requests that remediate vulnerable dependencies
- Scan my dependency manifests and lockfiles for packages with known vulnerabilities
- Detect taint-style vulnerabilities that flow across files and function boundaries
- Run static analysis that finds vulnerability classes like injection and XSS in my source code
- Filter and gate on findings by severity or confidence so low-value noise does not block builds
Hacker News10 stories
- Set up automations that run autonomously in the background
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Scan container images for OS-package and application-layer vulnerabilities before deploying them
- Scan projects across all the major languages and package ecosystems my organization uses
- Get concrete upgrade paths or automated fix pull requests that remediate vulnerable dependencies
- Scan my dependency manifests and lockfiles for packages with known vulnerabilities
- Have AI draft remediation pull requests for security findings that I review and merge
- Apply suggested or automatic code fixes for findings instead of only reading reports
- Use AI to triage findings — explaining them, deduplicating, and flagging likely false positives
Agent security docs8 stories
- Point an agent at llms.txt or agent-oriented docs
- Connect an agent via an official MCP server
- Use an official CLI
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Define rules that trigger actions automatically on events
- Wire the scanner into my coding agent so AI-generated code is scanned for issues before it lands
Platform docs7 stories
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Prioritize dependency alerts by whether the vulnerable code is actually reachable from my code
- Write custom static-analysis rules in a simple syntax and share them across repositories
- Apply suggested or automatic code fixes for findings instead of only reading reports
- Use AI to triage findings — explaining them, deduplicating, and flagging likely false positives
- Filter and gate on findings by severity or confidence so low-value noise does not block builds
Plans docs5 stories
- Define rules that trigger actions automatically on events
- See scan findings surfaced as pull-request comments or checks in GitHub or GitLab
- Detect the licenses of my dependencies and enforce a license policy in scans
- Baseline or ignore existing and false-positive findings so only new issues alert
- Filter and gate on findings by severity or confidence so low-value noise does not block builds
Developer tools docs4 stories
- Use an official CLI
- Have an agent run a scan headlessly via the CLI, parse machine-readable results, and file issues for real findings
- Run scans in CI on every pull request and fail the build on new findings via exit codes
- Scan my dependency manifests and lockfiles for packages with known vulnerabilities
docs.snyk.io2 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$snyk --versionreproduced$ snyk --version 1.1307.0
$echo '<jsonrpc initialize>' | snyk mcp -t stdioreproduced$ echo '<jsonrpc initialize>' | snyk mcp -t stdio
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"logging":{},"prompts":{"listChanged":true},"resources":{"subscribe":true,"listChanged":true},"tools":{"listChanged":true}},"serverInfo":{"name":"Snyk MCP Server","version":"1.1307.0"}}}
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
7 of 20 testable claims verified · 4 contradicted → integrity 0/100
34 distinct capability claims found in Snyk’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
7
Verified
9
Unverified
4
Contradicted
10
Undersold
Verified (13)
“Finds and fixes vulnerabilities in open-source libraries used by applications”
Scan my dependency manifests and lockfiles for packages with known vulnerabilitiesfullproof ↗
“Finds and fixes vulnerabilities in container images to build security in from the start”
Scan container images for OS-package and application-layer vulnerabilities before deploying themfullproof ↗
“Official CLI to run Snyk locally from command line or IDE”
“Can run a quick vulnerability test on a public npm package via CLI”
Scan my dependency manifests and lockfiles for packages with known vulnerabilitiesfullproof ↗
“Snyk Studio supports hooks-based integration with agentic dev environments so AI-generated code is secure at inception”
Wire the scanner into my coding agent so AI-generated code is scanned for issues before it landsfullproof ↗
“Coding agents can be prompted in natural language to scan directories for security issues via MCP server”
Operate the product with natural-language commandsfullproof ↗
“CLI supports agentic fix mode for human-in-the-loop interactive remediation without an IDE”
“Detects vulnerabilities in indirect (transitive) open-source dependencies”
Scan my dependency manifests and lockfiles for packages with known vulnerabilitiesfullproof ↗
“Coding assistant commands can scan a project and auto-fix top vulnerability or batch-fix multiple issues”
Operate the product with natural-language commandsfullproof ↗
“CLI can run in CI/CD pipelines for automated scanning”
Run scans in CI on every pull request and fail the build on new findings via exit codespartialproof ↗
“CLI command to scan source code directly (snyk code test)”
“Reduces risk introduced by open-source components via scanning”
Scan my dependency manifests and lockfiles for packages with known vulnerabilitiesfullproof ↗
“Snyk MCP Server runs locally using the CLI to enable agent access to local files”
Unverified (15)
“Static application security testing (SAST) that scans code in real-time within developer workflow”
Run static analysis that finds vulnerability classes like injection and XSS in my source codefullproof ↗
“Visualizes vulnerability data flow from source to sink step-by-step”
Detect taint-style vulnerabilities that flow across files and function boundariesfullproof ↗
“Prioritizes issues using a single risk score based on prevalence, ease of fix, and risk factor”
Prioritize dependency alerts by whether the vulnerable code is actually reachable from my codepartialproof ↗
“Lets users ignore/suppress specific findings to reduce noise”
Baseline or ignore existing and false-positive findings so only new issues alertpartialproof ↗
“Write and scan secure configurations for Terraform, CloudFormation, Kubernetes, and Azure ARM”
Scan Terraform, Kubernetes, and other IaC files for security misconfigurationsfullproof ↗
“Users can write custom queries with DeepCode AI logic and autocomplete to find code matches”
Write custom static-analysis rules in a simple syntax and share them across repositoriespartialproof ↗
“Provides risk-based prioritization and a reporting dashboard”
Prioritize dependency alerts by whether the vulnerable code is actually reachable from my codepartialproof ↗
“SAST integrates across IDEs, repositories, and CI/CD pipelines for early vulnerability detection”
Run static analysis that finds vulnerability classes like injection and XSS in my source codefullproof ↗
“SAST integrates across IDEs, repositories, and CI/CD pipelines for early vulnerability detection”
See scan findings surfaced as pull-request comments or checks in GitHub or GitLabpartialproof ↗
“Scans projects for license compliance against known license database”
Detect the licenses of my dependencies and enforce a license policy in scanspartialproof ↗
“Supports secure IaC configuration workflows across IDE, SCM, CLI, and Terraform Cloud/Enterprise”
Scan Terraform, Kubernetes, and other IaC files for security misconfigurationsfullproof ↗
“CLI can run in CI/CD pipelines for automated scanning”
Run the product headlessly / in CI for automationfullproof ↗
“CLI command to scan source code directly (snyk code test)”
Run static analysis that finds vulnerability classes like injection and XSS in my source codefullproof ↗
“Real-time code scanning integrates with IDE, CLI, and source code managers”
Run static analysis that finds vulnerability classes like injection and XSS in my source codefullproof ↗
“Real-time code scanning integrates with IDE, CLI, and source code managers”
See scan findings surfaced as pull-request comments or checks in GitHub or GitLabpartialproof ↗
Contradicted (7)
“LLM-driven Remediation Agent scans, generates fix plans, applies fixes, and verifies results automatically”
Have AI draft remediation pull requests for security findings that I review and mergedisputedproof ↗
“DeepCode AI provides 85%-accurate automated security autofixes”
Apply suggested or automatic code fixes for findings instead of only reading reportsdisputedproof ↗
“Provides actionable fix advice and automated pull requests to fix vulnerabilities”
Get concrete upgrade paths or automated fix pull requests that remediate vulnerable dependenciesdisputedproof ↗
“Provides actionable fix advice and automated pull requests to fix vulnerabilities”
Have AI draft remediation pull requests for security findings that I review and mergedisputedproof ↗
“Coding assistant commands can scan a project and auto-fix top vulnerability or batch-fix multiple issues”
Apply suggested or automatic code fixes for findings instead of only reading reportsdisputedproof ↗
“CLI test command outputs a report of vulnerabilities found in terminal”
Emit scan results in machine-readable formats like JSON or SARIF for downstream toolingnoneproof ↗
“Remediation agent operates within coding assistant or CLI, scanning, fixing, and verifying results”
Have AI draft remediation pull requests for security findings that I review and mergedisputedproof ↗
Undersold (10)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
Set up automations that run autonomously in the backgroundpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
Perform bulk operations across many items at oncefullproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
Have an agent run a scan headlessly via the CLI, parse machine-readable results, and file issues for real findingspartialproof ↗
Scan projects across all the major languages and package ecosystems my organization usesfullproof ↗
Use AI to triage findings — explaining them, deduplicating, and flagging likely false positivespartialproof ↗
Filter and gate on findings by severity or confidence so low-value noise does not block buildspartialproof ↗
Claims outside our story set (5)
Real capability claims found in Snyk’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Tracks and exports issues to Jira projects”
source ↗“Detects manually created (drifted) resources in cloud environments”
source ↗“Free tier available for AI code security tools without credit card”
source ↗“Scans and prioritizes/fixes vulnerabilities across code, open-source deps, containers, and cloud configs in one product”
source ↗“Includes policy management capability”
source ↗
Business model
Free plan with monthly test limits; Team plans are priced per contributing developer per month; Enterprise is custom with SSO, reporting, and governance features.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)
