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.
Yet another secret scanner, but this one's a single Python file.
Developers worried about accidentally committing credentials
TruffleHog · gitleaks · GitGuardian
Built it because I kept generating code with AI assistants and worrying about keys ending up in the wrong place. Its offbrand TruffleHog.
Purpose-built LLM security linter covers OWASP Top 10, but static analysis has inherent blind spots.
Bundles CI-friendly scanners that target agent-specific risks: 17 patterned secret detectors, prompt-injection and instruction‑malware heuristics, tool/SSRF and MCP auth checks, plus SARIF/JSON outputs for integration. Findings map to the OWASP Top 10 for Agentic Applications (2026) and it adds 'harden' profiles to apply safer defaults to OpenClaw/MCP installs — practical, focused ops tooling rather than a generic secret-finder.
Closes the MCP server discovery gap that shadow-IT has made critical.
Yet another secret scanner when TruffleHog and Gitleaks already dominate this space.
Solid security research, but it's a case study—not a tool you can actually use.
Finds middleware ordering bugs that standard linters miss completely.