Snyk

Developer-first security scanning across code, dependencies and containers

AI Coding & DevelopmentFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Snyk?

Snyk scans the places vulnerabilities actually appear in modern projects: open-source dependencies, your own source code, container images and infrastructure-as-code files. It plugs into IDEs so issues surface while code is being written, adds a step to the pipeline so nothing merges with a known critical problem, and keeps monitoring projects after deployment to warn when a newly disclosed flaw affects a dependency you already ship. Fix suggestions and automated upgrade pull requests are part of the workflow, which is what makes it practical for teams without a dedicated security engineer.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Dependency scanning with fix advice and automated upgrade pull requests
  • Static analysis of first-party code for common vulnerability patterns
  • Container image and infrastructure-as-code scanning
  • IDE plugins plus repository and continuous integration integrations
  • Continuous monitoring that alerts on newly disclosed issues
  • Licence compliance checks across open-source dependencies

Pros & cons

Strengths

  • Covers dependencies, source code and containers in one tool
  • IDE feedback catches problems before they reach code review
  • Automated fix pull requests reduce the work of acting on findings

Watch out for

  • Findings need triage; not everything reported is exploitable
  • Growing teams move onto paid tiers fairly quickly
  • Test limits on the free tier constrain frequent builds

Best for & use cases

dependency security, ci pipelines, container scanning, licence compliance and shift-left security

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FAQ

Does it replace a security team?

No, but it removes the routine work. It finds known issues and suggests fixes so engineers can act directly, leaving human review for exploitability and design-level problems.

Will it slow down the pipeline?

Scanning adds time, usually measured in seconds to a couple of minutes depending on project size. Running it on pull requests rather than every commit keeps that cost manageable.

How much noise should I expect?

Some. Transitive dependencies and test-only packages generate findings that may never matter in production, so a triage policy and a way to record accepted risks are worth setting up early.