Decoder. plain-English AI glossary

Model provenance

▲ Rising

Also called Model Provenance

Knowing exactly where a model came from — who trained it, on what, and that it wasn’t tampered with since.

Think of it like

A used car’s full service history and title — proof of where it’s been and that no one swapped the engine.

Example

Before deploying a downloaded checkpoint, a team verifies its cryptographic hash and signed lineage to confirm it is the untouched original.

How it actually works

Provenance tracks a model’s lineage — base model, training data, fine-tunes — plus integrity signals like checksums and signatures. It is the main defense against supply-chain tampering, since a trojan or backdoor is invisible in behavior but shows up as a broken chain of custody. Emerging practices include signed model cards and attestation.

For product teams

The paper trail that lets you trust a model you didn’t train yourself.

For engineers

Track lineage plus cryptographic integrity (hashes, signatures); it catches supply-chain tampering that behavioral tests miss.

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