Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework
arXiv:2606.19390v1 Announce Type: cross 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, GitH
The rapid advancement and deployment of AI agents necessitate robust security and accountability frameworks, making this an urgent area of research and development.
This framework addresses critical security and trustworthiness concerns for nascent AI agents, moving towards auditable and exploit-resistant autonomous systems.
The ability to generate cryptographically signed and validated CSAF VEX advisories based on both static and runtime evidence introduces a new standard for AI agent security and explainability.
- · AI Agent developers
- · Cybersecurity firms
- · Regulators
- · Critical infrastructure relying on AI
- · Malicious actors targeting AI agents
- · Organizations with opaque AI systems
Reduced attack surface and increased trustworthiness for AI agent deployments.
Accelerated adoption of AI agents in sensitive and high-stakes environments due to enhanced security guarantees.
New certification and compliance standards emerging around AIBOMs and dynamic exploitability assessments for AI systems.
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Read at arXiv cs.AI