{
  "id": 4728,
  "url": "https://arxiv.org/abs/2605.07728v1",
  "title": "SARC: A Governance-by-Architecture Framework for Agentic AI Systems",
  "summary": "Agentic AI systems increasingly act through tools, sub-agents, and external services, but governance controls are still commonly attached to prompts, dashboards, or post-hoc documentation. This creates a structural mismatch in regulated settings: obligations that must constrain execution are often evaluated only after execution has occurred. We introduce SARC, a runtime governance architecture for tool-using agents that treats constraints as first-class specification objects alongside state, act",
  "authors": "Gaston Besanson",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-08T13:34:36.000Z",
  "fetched_at": "2026-07-14T16:31:12.746Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4728",
  "original_url": "https://arxiv.org/abs/2605.07728v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}