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A structured inventory of the components that make up an AI system, analogous to a software bill of materials (SBOM). An AIBOM typically lists: the foundation model(s) used, training datasets and their sources, pre-processing libraries, inference frameworks, third-party APIs, and any post-processing components. AIBOMs help organizations understand what they have built on and where supply chain risks lie. They are emerging as a requirement in enterprise AI procurement, particularly in regulated industries and government contracting.
Why this matters for your team
Enterprise and government buyers are increasingly requiring an AIBOM as a condition of purchase. Build the habit of documenting your AI components — models, datasets, APIs — as you build, not after. Retrofitting this documentation is significantly harder than maintaining it incrementally.