An SBOM for AI assets, also called a Model BOM (Bill of Materials), is a detailed inventory that lists all components, dependencies, datasets, libraries, and tools used in developing, training, and deploying an AI model. It enhances transparency, traceability, and security by documenting the origins and versions of each element, helping organizations manage risks, ensure compliance, and facilitate maintenance or updates throughout the AI asset’s lifecycle.
An SBOM for AI assets, also called a Model BOM (Bill of Materials), is a detailed inventory that lists all components, dependencies, datasets, libraries, and tools used in developing, training, and deploying an AI model. It enhances transparency, traceability, and security by documenting the origins and versions of each element, helping organizations manage risks, ensure compliance, and facilitate maintenance or updates throughout the AI asset’s lifecycle.
What is an SBOM (Model BOM) for AI assets?
An SBOM, or Model BOM, is a detailed inventory of all components used in an AI model—datasets, libraries, dependencies, and tools—documenting their origins and licenses to improve transparency and security.
What items are typically listed in a Model BOM?
Datasets, software libraries and frameworks, model weights and artifacts, training and deployment tools, dependencies, licenses, and provenance for each item.
Why is a Model BOM important for security and compliance in Generative AI?
It enables traceability of origins, helps identify vulnerabilities or licensing issues, supports risk assessments, and demonstrates due diligence to regulators and partners.
How does a Model BOM support governance and accountability?
It records where each component came from and how it was used, aiding audits, patching, updates, and responsible disclosure.