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Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework

2026-06-16 · arXiv: 2606.19390

One-line summary

An AI research paper on Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework.

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

A protocol driven framework is presented that binds SBOM and AIBOM artefacts to deterministic environment capture and structured runtime telemetry. Exploitability is computed from declared artefacts, observed activation conditions, and enforced execution policies. CSAF VEX advisories are generated from combined static and runtime evidence, cryptographically signed, and validated through deterministic replay. Evaluation uses approximately 10000 component entries across synthetic Agentic AI workloads 50 to 5000 components, incorporating OSV, GitHub Advisory, KEV, and EPSS datasets.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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