Versatile AI Risk Assessment

Glossary Governance and evidence

AIBOM (AI bill of materials)

Bill of materials for an AI system: models, data, libraries and their provenance.

As of: September 2026 · Glossary with 28 terms

What is AIBOM (AI bill of materials)?

An AIBOM is the bill of materials for an AI system. It extends the classic software bill of materials (SBOM) by the parts that AI adds: the models in use and their version, training and fine-tuning data, embedding and vector stores, prompt templates, and the services connected at runtime.

The benefit shows in an incident. When a weakness in a model or a dataset becomes known, the AIBOM answers which of your own systems are affected. It is also the basis for provenance evidence towards customers and supervisory authorities.

SBOMSupply chainEvidence

More terms from the subject area Governance and evidence.

DPIA threshold analysis Screening under Art. 35 GDPR: does the processing need a full impact assessment? EU AI Act risk classes Classification of AI systems by risk, from prohibited practices to minimal risk. TOMs: technical and organisational measures Technical and organisational safeguards under Art. 32 GDPR, appropriate to the risk.

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“AIBOM (AI bill of materials)”. Versatile AI Risk Assessment, glossary of AI risk analysis, as of September 2026.
https://www.versatile-ai-risk-assessment.com/en/wissensbasis/glossary/aibom/

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