Toolkit to assess and determine model provenance
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Updated
Jun 29, 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.
Validate model and release claims against small provenance envelopes with redacted output.
Security-grade model lineage and attestations on top of CycloneDX ML-BOM
Static analysis toolchain for neural network weights - inspect, diff, fingerprint, and scan model checkpoints without running them. Ghidra for models.
Anchor W&B artifacts to Bitcoin. Zero-touch provenance for ML experiments.
Anchor MLflow artifacts to Bitcoin. One line to production.
Supply-chain forensics for AI models. Traces lineage, audits licenses, flags trust gaps.
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