Snyk offers an AI‑native security platform that embeds directly into developers’ workflows—IDE plugins, AI coding assistants, and CI/CD pipelines—to automatically inventory code, dependencies, containers, IaC, and AI models, then apply AI‑driven vulnerability detection, risk scoring, and one‑click remediation. The platform enforces "secure at inception" guardrails and provides autonomous runtime protection through its Evo orchestrator, delivering continuous governance and compliance across the entire software supply chain.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+11Founders
Product
Problem
Rapid AI‑generated code and increasingly complex software supply chains introduce vulnerabilities faster than traditional security tools can detect, leaving applications exposed to emerging attack vectors and shortening time‑to‑exploit.
Solution
Snyk provides an AI‑native security platform that integrates directly into developers’ workflows, from IDEs and AI coding assistants to CI/CD pipelines. It automatically discovers code, dependencies, containers, infrastructure‑as‑code, and AI models, then applies AI‑driven risk scoring, reachability analysis, and one‑click automated fixes. Built‑in guardrails enforce “secure at inception” policies, preventing insecure code from entering the codebase. The platform also offers autonomous, agentic orchestration (Evo) for runtime protection of non‑deterministic AI‑native applications, delivering continuous governance, analytics, and compliance across the entire software supply chain.
Target Audience
Primary customers are development and security teams in enterprises that build AI‑augmented applications, including software engineers, DevSecOps engineers, and security architects seeking integrated, developer‑first protection across the full SDLC.
Features
- Automatic inventory of all assets—including source code, open‑source dependencies, containers, IaC configurations, and AI models.
- AI‑accelerated vulnerability detection with deep application intelligence, risk scores, and reachability analysis.
- “Secure at Inception” guardrails embedded in AI coding assistants, IDE plugins, and CI pipelines to block insecure code early.
- One‑click AI‑generated remediation fixes delivered directly in the IDE or pull request.
- Policy enforcement, analytics, and reporting for governance, risk reduction, and ROI measurement.
- Evo agentic orchestrator provides autonomous, runtime protection for AI‑native and non‑deterministic applications.
- Integration with major source‑code repositories, package registries, container registries, and cloud platforms via APIs and plugins.