Agents2h ago
New Framework For Agentic AI Runtime Governance
Paper 2606.19464 proposes deontic policies to manage LLM-driven agents that manipulate data and install software. Current policy engines like XACML fail to handle complex obligations and rule conflicts in autonomous workflows. This research introduces a formal structure for permissions and prohibitions. It provides a necessary blueprint for securing agents within strict enterprise governance frameworks.