AI agents are quickly moving from experimentation to real-world use in government, but they introduce a new class of security risks that many agencies aren’t prepared to manage.
This paper explores why agentic AI must be treated as a new identity type, with the same level of governance, visibility and control as human users. You’ll learn how leading organizations are addressing challenges like agent sprawl, unclear ownership and uncontrolled access across systems. It also outlines practical strategies — from lifecycle management to real-time enforcement — that help agencies safely scale AI adoption.
Download the full paper to understand how to secure AI agents without slowing innovation.
