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arXiv· arXiv:2605.19755· Petar Radanliev, Omar Santos, Carsten Maple, Kay Atefi·Indexed by this site · Originally published

AI Bill of Materials (AIBOM) in Practice: Toward Verifiable AI Provenance and Lifecycle Assurance

Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance

AI summary

The research proposes an AI bill of materials (AIBOM) schema extending the CycloneDX standard, for recording AI-specific provenance, model lineage, and disclosure metadata. The framework combines a structured schema, cryptographic verification, and agent automation to build verifiable software provenance and autonomous AI pipelines; in a containerized analysis workflow it achieves 98.7% reproducibility fidelity, 96.2% vulnerability matching precision, and a 63% reduction in manual oversight.

Read originalFrontiers Comput. Sci. 2026