Tools

CLI and library for evaluating and red-teaming LLM apps: compare prompts and model outputs in bulk, scan for security vulnerabilities and plug into CI/CD, with evals running locally. Now part of OpenAI and still open source under MIT.

Semantic multi-language static analysis: find vulnerabilities and bugs with rules that look like source code, across 30+ languages with custom rules. Scans locally by default without uploading code; cross-file analysis and Pro rules require sign-in.

Scans container images, filesystem directories and SBOMs for known vulnerabilities across major Linux distro packages and many language ecosystems, ranks risk by EPSS and KEV, and filters results with OpenVEX. Good for vulnerability gates in CI. Maintained by Anchore.

Trail of Bits skill that audits GitHub Actions workflows wired to AI coding agents (Claude Code Action, Codex, Gemini CLI and others) for prompt injection, env-variable relays, dangerous sandbox settings, wildcard allowlists and other privilege risks.

Static security analysis for CI/CD config: finds template injection, credential leaks, excessive permissions and more in GitHub Actions workflows, also covers Dependabot and pre-commit configs, and auto-fixes some findings.