Toolkit to assess and determine model provenance
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Updated
May 11, 2026 - Python
Toolkit to assess and determine model provenance
AetherGuard AI is presented as a holistic AI Trust & Integrity Gateway that expands the typical AI gateway paradigm to offer real-time semantic inspection, cryptographic accountability, responsible AI compliance, and robust operational governance. The system operates as a transparent reverse-proxy between LLM clients and providers.
Security-grade model lineage and attestations on top of CycloneDX ML-BOM
Anchor MLflow artifacts to Bitcoin. One line to production.
Anchor W&B artifacts to Bitcoin. Zero-touch provenance for ML experiments.
Add a description, image, and links to the model-provenance topic page so that developers can more easily learn about it.
To associate your repository with the model-provenance topic, visit your repo's landing page and select "manage topics."