Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
Autonomous agents powered by large language models introduce a class of execution-layer vulnerabilities -- prompt injection, retrieval poisoning, and uncontrolled tool invocation -- that existing guardrails fail to address systematically. In this work, we propose the Layered Governance Architecture (LGA), a four-layer framework comprising execution sandboxing (L1), intent verification (L2), zero-trust inter-agent authorization (L3), and immutable audit logging (L4). To evaluate LGA, we construct
Record details
Published: 7 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (7 March 2026), “Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice,” evidence record 7558, https://ethics.ai/record/7558 (originally published by arXiv).
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