{
  "id": 341,
  "url": "https://arxiv.org/abs/2607.01421v1",
  "title": "Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System Governance",
  "summary": "Engineering management research has produced mature frameworks for software risk: ownership by feature, escalation by severity, and assurance by test coverage. These frameworks implicitly assume deterministic behavior, discrete and auditable change events, and clear component-to-owner mappings. Teams that build and operate agentic AI systems violate all three assumptions at once: outputs are probabilistic, systems take autonomous multi-step actions, and the risk surface mutates silently between ",
  "authors": "Laxmipriya Ganesh Iyer",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-01T19:31:02.000Z",
  "fetched_at": "2026-07-14T14:14:28.436Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/341",
  "original_url": "https://arxiv.org/abs/2607.01421v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}