Snyk
Free tierThe AI Security Fabric — secure code, models, and agents from inception to production
Key strengths
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Snyk — Technical Use Cases
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Securing AI-generated code at scale: Teams using Claude Code, Cursor, or Codex can run Snyk Code (SAST) scans inline to catch vulnerabilities introduced by AI-generated suggestions before they are committed or merged.
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Agentic development security: Snyk's AI Security Posture Management (AI-SPM) and agentic development security capabilities provide governance and risk visibility for organizations adopting autonomous AI coding agents in their SDLC.
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Open-source dependency risk management: Snyk Open Source performs SCA across project dependency trees, identifying known CVEs, license risks, and fix availability — integrated into CI/CD pipelines via CLI or IDE.
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Container and IaC hardening: Snyk Container monitors images for vulnerabilities at the OS and application layer; Snyk IaC catches misconfigurations in infrastructure definitions before deployment.
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Secrets sprawl prevention: Snyk Secrets scans repositories and pipelines to detect hardcoded credentials, preventing accidental exposure of API keys, tokens, and passwords.
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DAST and API security testing: Snyk API & Web enables dynamic testing of live API endpoints and web applications, complementing static analysis for comprehensive coverage.
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Continuous offensive security / AI pentesting: Ongoing adversarial testing capabilities allow security teams to simulate attacks and validate defenses continuously rather than point-in-time.
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Risk-based prioritization in enterprise workflows: Vulnerability findings are prioritized by risk, reducing alert fatigue and helping engineering teams focus remediation effort where it matters most — surfaced directly in Jira, IDE, or CLI output.