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Evidence record 4728 · automatically gathered

SARC: A Governance-by-Architecture Framework for Agentic AI Systems

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

Record details

Published: 8 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline · Shared topic: Regulation

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How to cite this record

ethics.ai (8 May 2026), “SARC: A Governance-by-Architecture Framework for Agentic AI Systems,” evidence record 4728, https://ethics.ai/record/4728 (originally published by arXiv).

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