Snyk
AI-powered developer security platform that finds and auto-fixes vulnerabilities in code, open-source dependencies, containers, and IaC.
Snyk is the leading developer-first security platform, combining static application security testing with AI-powered fix suggestions to help developers remediate vulnerabilities without leaving their IDE or CI/CD pipeline. Founded in 2015 by Guy Podjarny and team, Snyk has raised over $775 million and reached a $8.5B valuation. The platform supports JavaScript, Python, Java, Go, .NET, C/C++, and 20+ other languages, scanning code, open-source packages, Docker containers, and Kubernetes configurations. As of 2025, Snyk processes over 1 billion security tests per month across 2,000+ paying customers including Google, Salesforce, and Intuit. Its DeepCode AI capability provides intelligent one-click fix suggestions applicable directly in VS Code, IntelliJ, or GitHub.
Key Features
- DeepCode AI generates code patches for detected vulnerabilities with one-click application in the IDE
- SAST scanning across 20+ languages including JavaScript, Python, Java, Go, and C/C++
- Open-source dependency scanning with severity scoring using the Snyk vulnerability database
- Container and Kubernetes security scanning for Docker images and IaC configurations
- IDE integrations for VS Code, IntelliJ, Eclipse, and Visual Studio with real-time vulnerability highlighting
- CI/CD pipeline integration with GitHub, GitLab, Bitbucket, Jenkins, and CircleCI
- License compliance scanning to flag open-source components with restrictive or incompatible licenses
Use Cases
- Developer teams shifting security left - catching vulnerabilities at code-write time rather than post-deployment
- Open-source maintainers scanning dependencies for known CVEs before publishing package updates
- DevOps teams enforcing security gates in CI/CD pipelines before any code reaches production
- Enterprise security teams auditing entire application portfolios for OWASP Top 10 exposure
Pros
- Market-leading vulnerability database with 1.5M+ issues covering all major languages and package ecosystems
- AI fix suggestions cut remediation time significantly - patches are generated and applied in minutes
- Free tier scans unlimited open-source projects - zero cost for individual developers and open-source maintainers
Cons
- SAST false positive rate on complex codebases requires manual triaging that adds developer overhead
- $25/developer/month Team pricing scales quickly and becomes expensive for large engineering organizations
- Deep configuration needed to suppress noise in older codebases with known acceptable vulnerabilities
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