关于

Snyk is a developer security platform that uses AI and a proprietary vulnerability database to help developers find and fix security vulnerabilities in their code, open-source dependencies, container images, and infrastructure as code configurations. Founded in 2015 by Guy Podjarny, Danny Grander, and Assaf Hefetz, and headquartered in Boston, Massachusetts, Snyk integrates directly into developer workflows and tools, enabling security to be addressed during development rather than after deployment. The platform consists of several integrated products. Snyk Code provides static application security testing (SAST) powered by machine learning, analyzing source code in real time to identify security vulnerabilities with low false positive rates and actionable fix suggestions. Snyk Open Source scans project dependencies against Snyk's vulnerability database, which is curated by its security research team and contains detailed information on vulnerabilities across multiple package ecosystems including npm, PyPI, Maven, Go, and others. Snyk Container scans container images for known vulnerabilities in operating system packages and application dependencies, providing base image upgrade recommendations. Snyk Infrastructure as Code (IaC) scans Terraform, CloudFormation, Kubernetes, and other IaC configuration files for misconfigurations and security issues. Snyk integrates with popular developer tools including IDEs (VS Code, IntelliJ), source code repositories (GitHub, GitLab, Bitbucket), CI/CD pipelines, and container registries. The platform provides automated fix pull requests that propose specific dependency upgrades or code patches to resolve identified vulnerabilities. Snyk offers a free plan for individual developers with limited scans, a Team plan starting at $25 per month per user, and custom-priced Enterprise plans with advanced features, SSO, and dedicated support. The platform is used by over 3,000 enterprise customers worldwide.

AI自动化工具

Snyk 通过生成修复拉取请求来自动化安全修复,这些请求提议特定的依赖项升级或代码补丁以解决已识别的漏洞。其持续监控功能在新漏洞披露时自动重新扫描项目,向团队发出警报并提供自动修复建议,无需手动干预。

AI 代码审查

Snyk Code 执行 AI 驱动的源代码静态分析,在开发人员编写代码时实时识别安全漏洞。它与 IDE 和代码存储库集成,以提供内联安全发现和可操作的修复建议,充当具有低假阳性率的自动化安全代码审查工具。

AI网络安全

Snyk 提供 AI 驱动的应用安全功能,直接集成到开发人员工作流中。其机器学习驱动的代码分析识别源代码、开源依赖项、容器和基础设施即代码中的漏洞,使组织能够左移安全并在开发期间而非生产环境中解决问题。

AI 测试工具

Snyk 通过整个软件开发生命周期自动化安全测试,扫描代码、依赖项、容器和基础设施配置中的漏洞。它集成到 CI/CD 管道中,在每次构建时运行自动化安全测试,使团队能够在安全问题进入生产环境之前发现并修复。

工具详情 免费增值

价格 Freemium (Free / $25/user/mo Team / Custom Enterprise)
平台 SaaS, API
总部 Boston, Massachusetts
成立于 2015
免费计划
API可用
企业计划
4.5
1 reviews
Ease of Integration
4.8
Value for Money
4.5
Learning Curve
4.5
Automation Effectiveness
4.5
Customer Support
4.3
Accuracy & Reliability
4
Claude Opus 4.6
AI Review
4.5/5

Snyk is a leading developer-first security platform that excels at finding and fixing vulnerabilities across code, open-source dependencies, containers, and infrastructure as code. Its AI-powered scanning integrates seamlessly into CI/CD pipelines, IDEs, and repositories, making security a natural part of the development workflow rather than an afterthought.

The free tier is genuinely useful, offering up to 200 open-source tests per month " ideal for individual developers and small projects. The Team plan at $25/user/month is competitively priced, while Enterprise pricing unlocks advanced policies, reporting, and SSO. The robust API and extensive integrations with GitHub, GitLab, Jira, and major cloud platforms make automation straightforward.

Strengths include its massive vulnerability database, real-time fix suggestions with prioritized remediation, and excellent developer experience. The AI-assisted code review catches security anti-patterns that traditional linters miss. Limitations include occasional false positives in container scanning and the fact that advanced features like custom rules require Enterprise pricing. Compared to alternatives like SonarQube or Checkmarx, Snyk strikes an excellent balance between depth and usability.

Ease of Integration
4.8
Automation Effectiveness
4.5
Learning Curve
4.5
Value for Money
4.5
Customer Support
4.3
Accuracy & Reliability
4
Feb 15, 2026