LLM AuthZ Audit – find auth gaps and prompt injection in LLM apps
Purpose-built LLM security linter covers OWASP Top 10, but static analysis has inherent blind spots.
Detect security and quality issues in AI-generated code
Static analysis dressed up as AI-specific, but ESLint and Semgrep already do this.
Developers using AI coding assistants like Copilot or Cursor
ESLint · Semgrep · SonarQube
Purpose-built LLM security linter covers OWASP Top 10, but static analysis has inherent blind spots.
Catches hallucinated imports, hardcoded secrets, and missing auth that AI coding tools consistently write.
Secures OpenClaw skills, but the ecosystem might not sustain the moat.
Seven-dimension security scoring catches fail-open errors before your MCP gateway hits production.
Autonomous agent that finds and fixes code debt while you sleep, still very early.
Client-side security scanning means your code never leaves your machine, unlike Snyk.