Secure AI-driven development with an AI-native platform that helps organizations secure and govern development.
The Snyk AI Security Platform is designed to address the unique security challenges presented by AI-driven development. It weaves an intelligent layer of defense into the software development lifecycle, securing AI-generated code and AI-native components. The platform uses AI-native and agentic technologies to help organizations govern and secure their development processes, reduce business risk, and accelerate software delivery. Snyk's platform offers various security testing capabilities including SCA, SAST, IaC, and Container scanning. It integrates directly into developer workflows and tools, offering real-time custom code scanning, automated fixes, and dependency monitoring. It also provides security education via Snyk Learn, which helps developers build secure AI-coding practices. The platform aims to enhance productivity, improve risk posture, and consolidate AppSec solutions.
The Snyk AI Security Platform is designed to address the unique security challenges presented by AI-driven development.
Explore all tools that specialize in vulnerability scanning. This domain focus ensures Snyk AI Security Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in security remediation. This domain focus ensures Snyk AI Security Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in ai code security. This domain focus ensures Snyk AI Security Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in developer education. This domain focus ensures Snyk AI Security Platform delivers optimized results for this specific requirement.
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Unified DevSecOps platform for lean teams that consolidates 10+ security tools into one no-noise dashboard.
Deep recursive binary analysis and universal software composition analysis for the modern DevSecOps pipeline.
Human-led, AI-powered MDR that finds what matters, and filters out what doesn’t.
AI-orchestrated static analysis for multidimensional code quality and technical debt reduction.
AI-powered automated penetration testing to secure web applications and APIs.
Automated security weakness hunting and vulnerability exploitation for Kubernetes clusters.
