Security Framework for Agentic AI Governance

This document is a technical report that outlines a security framework for governing agentic AI within enterprises. It addresses the challenges posed by the rapid adoption of endpoint-based AI agents, which have grown significantly in usage and present unique security risks. The report emphasizes the need for enhanced visibility, observability, and control mechanisms to manage these risks effectively. It describes how traditional security architectures are inadequate for the new threat landscape created by agentic AI, which operates continuously and autonomously, often without human oversight. The document details six primary exposure areas that enterprises face with agentic AI, including indiscriminate data access and compliance exposure. It argues for a new security model built on data lineage as a foundational element, enabling security teams to track data movements and enforce policies effectively. The report concludes by presenting a framework that integrates visibility, observability, and controls to ensure safe AI adoption and governance.