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.
Petar Radanliev Parks Road, Oxford OX1 3PJ United Kingdom Email: petar.radanliev@cs.ox.ac.uk BA Hons., MSc., Ph.D
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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.