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 Automation Tools

Snyk automates security remediation by generating fix pull requests that propose specific dependency upgrades or code patches to resolve identified vulnerabilities. Its continuous monitoring automatically rescans projects when new vulnerabilities are disclosed, alerting teams and providing automated fix recommendations without manual intervention.

AI Code Review

Snyk Code performs AI-powered static analysis of source code to identify security vulnerabilities in real time as developers write code. It integrates with IDEs and code repositories to provide inline security findings with actionable fix suggestions, functioning as an automated security-focused code reviewer with low false positive rates.

AI Cybersecurity

Snyk provides AI-powered application security that integrates directly into developer workflows. Its machine learning-driven code analysis identifies vulnerabilities across source code, open-source dependencies, containers, and infrastructure as code, enabling organizations to shift security left and address issues during development rather than in production.

AI Testing Tools

Snyk automates security testing across the software development lifecycle, scanning code, dependencies, containers, and infrastructure configurations for vulnerabilities. It integrates into CI/CD pipelines to run automated security tests on every build, enabling teams to catch and fix security issues before they reach production.