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SecureVector Guardian 1.0.0

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@mss04132020 mss04132020 released this 10 Jun 04:49
· 17 commits to main since this release

First release of SecureVector Guardian — a lightweight, fast, fully-offline ML model that detects prompt & AI attacks.

  • pip install securevector-guardian-model — stdlib-only runtime, zero dependencies
  • Import name: svguardian
  • Model bundle (guardian.runtime.json.gz, ~1.8 MB) attached below with its SHA-256 integrity sidecar — pass via --runtime or SV_GUARDIAN_RUNTIME
  • Detects: prompt_injection · jailbreak · data_exfiltration · pii · social_engineering · harmful_content · model_attack
  • Validation: 42/42 unit tests (exact scikit-learn↔pure-Python parity), long-doc eval P/R 1.0 at 0 FPR, red-team 25/26 with 0 benign false positives