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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cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Presents a framework for generating cryptographically signed CSAF VEX advisories for agentic AI by binding SBOM/AIBOM artifacts to deterministic environment capture and runtime telemetry.
citing papers explorer
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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.
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Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework
Presents a framework for generating cryptographically signed CSAF VEX advisories for agentic AI by binding SBOM/AIBOM artifacts to deterministic environment capture and runtime telemetry.