Machine Learning Bill of Materials (ML-BOM)

ML-BOMs provide transparency for machine learning models and datasets, which provide visibility into possible security, privacy, safety, and ethical considerations. CycloneDX standardizes model cards in a way where the inventory of models and datasets can be used independently or combined with the inventory of software and hardware components or services defined in HBOMs, SBOMs, and SaaSBOMs.

High-Level Object Model

See also

• Authoritative Guide to SBOM

Additional Capabilities