AI Bill of Materials/ AIBOM

Definition

AI Bill of Materials is inventory of models, datasets, adapters, tools, dependencies, licenses, and provenance in an AI system. In defense applications, it helps teams track what intelligence assets are inside a deployed capability. The hard part is incomplete lineage and weak link to actual runtime versions, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a KhanBMS requirement for trusted modular autonomy, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

supply-chain documentation artifact

Operational value

Helps teams track what intelligence assets are inside a deployed capability

Primary risk

Incomplete lineage and weak link to actual runtime versions

KhanBMS role

A KhanBMS requirement for trusted modular autonomy

Related terms

• Model Cards for Defense
  Documentation artifacts describing model purpose, training data, metrics, limits, and approved uses.
• AI Supply Chain Security
  Protection of datasets, weights, code, dependencies, tooling, and deployment pipelines for AI systems.
• Secure Model Provenance
  Cryptographic and procedural evidence tracking where a model, adapter, dataset, or artifact came from.
• MLOps for Defense (MLOps-D)
  Lifecycle practices for building, testing, approving, deploying, monitoring, and updating military AI.