CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems
Agentic AI systems increasingly act through heterogeneous runtimes: local coding hooks, SDK tools, browser automation, managed-agent traces, API gateways, and workflow engines. A single operational act such as publishing code, changing identity state, moving money, or exporting data may therefore be represented by many incompatible runtime records. This makes a basic governance question difficult to answer: what action was actually approved, what evidence binds the approval to execution, and can
Record details
Published: 15 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Jobs & economy · Agents & autonomy
Retrieved: 16 July 2026
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How to cite this record
ethics.ai (15 July 2026), “CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems,” evidence record 10591, https://ethics.ai/record/10591 (originally published by arXiv).
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