A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents
Enterprise security was built to govern data boundaries: the protected surface was data at rest and in transit, and the controls -- access control, data-loss prevention, perimeter inspection -- governed crossings of that boundary. Production AI agents dissolve this assumption. An agent reads context, calls tools, invokes connectors, and modifies systems of record on an enterprise's behalf, so risk moves inside the workflow, into sequences of individually-permitted actions that may transform a bu
Record details
Published: 10 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (10 June 2026), “A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents,” evidence record 1145, https://ethics.ai/record/1145 (originally published by arXiv).
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