Mlbom

An ML-BOM inventories the machine-learning artifacts in a system — models, datasets and their provenance. What it captures, how it relates to SBOM and AIBOM, and why it matters.

An SBOM inventories software components; an AIBOM covers AI systems including models and data; an MLBOM focuses on machine-learning artifacts. How the three bills of materials relate and when you need each.