{
  "id": 833,
  "url": "https://arxiv.org/abs/2606.19464v1",
  "title": "Deontic Policies for Runtime Governance of Agentic AI Systems",
  "summary": "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",
  "authors": "Anupam Joshi, Tim Finin, Karuna Pande Joshi, Lalana Kagal",
  "category": "research",
  "topics": "regulation,privacy-surveillance,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-17T18:02:07.000Z",
  "fetched_at": "2026-07-14T14:14:50.323Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/833",
  "original_url": "https://arxiv.org/abs/2606.19464v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}