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Snyk
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Code Generation & Assistants (176)

Snyk Verified Tool

Snyk: Explore features, use cases, pricing, pros and cons to see whether this tool fits your workflow.

Last Update: August 18, 2026

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Starting price Free + from $25/mo

Tool Information

Snyk is a developer-first application security platform that scans proprietary code, open-source dependencies, container images, and infrastructure-as-code configurations. Developers can run checks in the web interface, IDE, command line, source-code manager, pull requests, APIs, and CI/CD pipelines, then prioritize findings and apply remediation guidance inside their normal workflow.

The Free plan costs $0 and currently includes up to five projects, plus separate limits for Snyk Open Source, Code, IaC, and Container tests. Team starts at $25 per contributing developer per month with higher limits and Jira support, Ignite starts at $1,260 per contributing developer per year for organizations under 50 developers, and Enterprise uses custom pricing.

Snyk reduces the time between introducing and finding a vulnerability, but scan results are not a guarantee that an application is secure. Teams should validate findings, handle false positives, combine SAST and dependency checks with runtime, architecture, secrets, and penetration testing, restrict repository access, and confirm that cloud, Broker, or Local Engine deployment matches their code-handling policy.

F.A.Q (19)

Snyk is an application security platform for finding and fixing risks in proprietary code, open-source packages, containers, and infrastructure-as-code files.

Yes. The tool has a permanent Free plan at $0 per contributing developer, with project and test limits.

Team currently starts at $25 per contributing developer per month, Ignite at $1,260 per contributing developer per year, and Enterprise uses custom pricing.

The tool counts developers who committed to a monitored private repository during the previous 90 days; contributions to public open-source repositories are not counted.

The current pricing page lists five projects and separate test limits: 200 Open Source, 100 Code, 300 IaC, and 100 Container tests.

The tool Code is a static application security testing product that analyzes proprietary source code and reports vulnerabilities with remediation context.

It analyzes direct and transitive dependencies for known vulnerabilities and can report open-source license issues.

Yes. The tool Container scans images and can provide base-image recommendations, subject to product and plan availability.

Yes. The tool Infrastructure as Code checks supported configuration formats such as Terraform, Kubernetes, CloudFormation, and Azure Resource Manager templates.

Official documentation lists integrations including VS Code, Visual Studio, and JetBrains IDEs, plus a language server for compatible editors.

Yes. The CLI and integrations support automated tests and policy gates in systems such as GitHub Actions, Jenkins, Azure Pipelines, and Bitbucket Pipelines.

Yes. The tool supports common source managers including GitHub, GitLab, Bitbucket, and Azure Repos for imports, monitoring, and pull-request checks.

The standard the tool Code SaaS workflow processes code in the tool services. Eligible customers can use Broker for private source systems or the Local Engine when policy prohibits code upload.

Current documentation lists languages including C and C++, Go, Java and Kotlin, JavaScript, TypeScript, Python, PHP, Ruby, Rust, .NET, Swift, Objective-C, Apex, Dart, and Groovy.

The tool Code invokes hardcoded-secret rules during SAST scans, but the documentation says this is not a standalone comprehensive secrets-scanning product.

The tool can suggest upgrades, patches, code changes, or pull requests for supported findings, but developers should review compatibility and run tests before merging.

No. It adds continuous developer-focused scanning, but runtime behavior, business logic, architecture, configuration, and manual attack paths require additional security testing.

Its AI-based semantic analysis is designed to reduce false positives, but every environment differs and findings still need technical validation.

Yes. The tool operates official channel, technology-alliance, and global service-provider programs for qualified companies that sell, integrate, or deliver services around the tool. Program availability, eligibility, rewards, attribution, and payment terms are subject to the current official program agreement.

Pros and Cons

Pros

  • Permanent free plan
  • Scans proprietary source code
  • Scans open-source dependencies
  • Container image scanning
  • Infrastructure-as-code scanning
  • Open-source license checks
  • AI-based semantic code analysis
  • Data-flow and control-flow analysis
  • Interfile analysis for most supported languages
  • Hardcoded-secret findings during SAST
  • Actionable fix examples
  • Real-time IDE feedback
  • Command-line interface
  • Pull-request checks
  • GitHub integration
  • GitLab integration
  • Bitbucket integration
  • Azure Repos integration
  • CI/CD pipeline integrations
  • Jira integration on Team
  • REST API and extensibility
  • Issue filtering by severity and priority
  • Risk-based prioritization on higher plans
  • Developer-centric remediation workflow
  • Supports many common languages
  • SaaS deployment
  • Snyk Broker for private source systems
  • Local no-upload engine option for eligible customers
  • Free test allowances across several products
  • Enterprise SSO and governance options

Cons

  • Free plan is limited to five projects
  • Each product has separate test limits
  • Team pricing is per contributing developer
  • Ignite has a substantial annual per-developer price
  • Enterprise pricing requires sales contact
  • Some capabilities are sold as separate products
  • Container scanning may need an Open Source bundle
  • Local Engine requires more maintenance
  • Local Engine can receive updates more slowly than SaaS
  • Snyk Broker requires setup and operation
  • False positives still require triage
  • SAST cannot find every runtime vulnerability
  • Dependency findings can create large remediation backlogs
  • Fix recommendations can introduce compatibility changes
  • Hardcoded-secret detection is not a standalone full secrets product
  • Supported capabilities vary by language and integration
  • Ruby does not receive interfile analysis
  • Repository permissions need careful configuration
  • Security testing does not replace penetration testing
  • Teams need policies for ignoring or accepting risk

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