Deontic Policies for Runtime Governance of Agentic AI Systems
Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not just by authentication and access control, but by the full structure of enterprise governance. This includes specifying what agents are permitted and prohibited from doing, what they areobliged to do afte
Record details
Published: 17 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (17 June 2026), “Deontic Policies for Runtime Governance of Agentic AI Systems,” evidence record 833, https://ethics.ai/record/833 (originally published by arXiv).
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