Develops an AIBOM framework extending CycloneDX with AI-specific provenance metadata and an autonomous pipeline that achieves 98.7% reproducibility fidelity and 96.2% vulnerability match precision in containerised workflows.
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Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance
Develops an AIBOM framework extending CycloneDX with AI-specific provenance metadata and an autonomous pipeline that achieves 98.7% reproducibility fidelity and 96.2% vulnerability match precision in containerised workflows.