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Free auditing tools for AI builders.

Standalone binaries. No telemetry. CI-friendly.

The same static checks our commercial AI Security Posture Management platform runs against production AI applications, released as single-binary command-line tools under the Apache-2.0 license. Run them in CI, in development, or against a vendor before procurement.

pnx-mcp-audit

Security auditor for Model Context Protocol (MCP) servers.

  • LanguageGo
  • LicenseApache-2.0
  • Latestv0.1.0
  • Rules13 static checks

More on the way

Prompt-injection probes, RAG corpus canaries, and a hosted MCP safety checker are next in the queue.

Subscribe to the project's releases on GitHub to be notified when the next tool ships.

Static checks should not be a commercial moat.

Audit before procurement

An MCP server, a prompt template, or a vendor-supplied agent should be reviewable before it reaches production. The free tools cover the static part of that review, with the same rules a paid scanner would apply.

CI-ready by default

Every tool exits with severity-tiered status codes so a GitHub Action, a GitLab job, or a Jenkins step can gate a merge on findings without bespoke parsing.

No telemetry, no SaaS lock-in

The binaries run fully offline. Source code stays on the machine where the tool runs. We never see the artefacts you scan.

What stays commercial

The continuous verdict pipeline (deterministic tiers, judge panel built for cases that need model scoring and shipped switched off), the runtime gateway agent, the six-framework compliance evidence collection, and the cross-framework deduplication ship in the Penaxtra platform.

Run the full AI Security Posture Management platform.

Continuous adversarial scans, deterministic scoring, runtime gateway, and six-framework compliance evidence in one platform.

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