{
  "id": 1123,
  "url": "https://arxiv.org/abs/2606.12797v1",
  "title": "The Containment Gap: How Deployed Agentic AI Frameworks Fail Public-Facing Safety Requirements",
  "summary": "Agentic large language model systems that autonomously invoke tools, maintain persistent memory, and execute multi-step plans are increasingly deployed in public-facing domains, including government services, healthcare triage, and financial advising. We ask whether the frameworks used to build these systems provide architectural-level structural safety guarantees. Applying six containment principles derived from a compositional model of agentic architectures, we audit three dominant frameworks ",
  "authors": "Md Jafrin Hossain, Mohammad Arif Hossain, Weiqi Liu, Nirwan Ansari",
  "category": "research",
  "topics": "healthcare,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-11T01:46:26.000Z",
  "fetched_at": "2026-07-14T14:15:03.614Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1123",
  "original_url": "https://arxiv.org/abs/2606.12797v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}