model-provenance
Safeguard articles tagged "model-provenance" — guides, analysis, and best practices for software supply chain and application security.
4 articles
AIBOM (AI Bill of Materials): Frequently Asked Questions
A practical FAQ on AI bills of materials in 2026 — what an AIBOM captures, how it extends SBOMs to models and datasets, model provenance risks, formats, and governance drivers.
CAISI's May 2026 Frontier Model Testing Agreements: Pre-Deployment Evaluation Becomes a Supply-Chain Control
On May 5, 2026, NIST's CAISI signed pre-deployment evaluation agreements with Google DeepMind, Microsoft, and xAI, bringing five frontier labs into a government testing program covering cyber, bio, and chemical risk.
AI Data Quality: Why It Matters for Model Security
Poor AI data quality is not just an accuracy problem — it's an attack surface. Here's how data integrity, provenance, and validation shape the security of the models you ship.
AI Bill of Materials (AI-BOM) for Model Supply Chains
An AI-BOM tracks every model, dataset, and dependency in your ML pipeline so a compromised base model or license issue can be traced in minutes, not weeks.
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