security · 1 min read
Supply-Chain Security for the AI Stack
Models, datasets, libraries and prompts all have supply chains. Here is how Bhogar AI verifies what you depend on and what to verify yourself.
BABhogar AI TeamProduct & Engineering
AI systems have multiple supply chains: code dependencies, model weights, training data, prompts, retrieved content. Compromise anywhere compromises everywhere.
Why it matters
Production-grade supply-chain security needs SBOMs for code, signed model weights, dataset provenance and prompt-registry integrity. Most teams cover one and ignore the rest.
How Bhogar AI approaches it
Bhogar AI generates SBOMs for the platform, verifies signed model weights, records dataset provenance for managed models, and hash-chains the prompt registry.
- Platform SBOMs published per release
- Model-weight signature verification
- Dataset provenance for managed models
- Hash-chained prompt registry
- Vulnerability monitoring across the stack
What you get
Security teams pass supply-chain reviews with a clear answer to "what does this depend on and how do you know it has not been tampered with".