Enables AI-powered code safety analysis including risk detection, secret scanning, dependency checking, and code snapshot management. Works offline for basic features with optional cloud integration for advanced ML analysis and team collaboration.
Enables security scanning of code projects to identify common vulnerabilities like XSS, injections, SSRF, and path traversal issues. Provides local, offline scanning with severity-grouped results and actionable fix suggestions for improving code security.
Enables local security scanning and compliance gap analysis for code and text, detecting secrets, PII, and OWASP vulnerabilities, and assessing readiness across major frameworks like NCA, ISO 27001, NIST CSF, and SOC 2.
Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.
Security MCP server with 300+ rules for AI-generated code. Scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL and 20+ modules. Zero config, runs locally.
