Are Your AI Agents a Hidden Attack Surface? Rethinking Identity and Access in the Agent Era

AI agents are rapidly gaining access to enterprise systems, applications, and sensitive data. As organizations embrace autonomous workflows, traditional identity and access management models are struggling to keep pace. This podcast explores the emerging risks associated with AI agents and what security leaders need to do to maintain visibility, control, and accountability in an increasingly agent-driven environment.

As AI agents move beyond simple automation and begin acting on behalf of users, they introduce a new layer of complexity for security teams. Many organizations can see what human users are doing, but have limited visibility into the actions, permissions, and decision-making processes of autonomous agents. Without proper governance, these agents can become a growing attack surface that existing security controls were never designed to manage.

In this podcast, you’ll learn:

Why traditional identity and access management approaches fall short when applied to AI agents.
How organizations can gain visibility into agent activity, permissions, and decision-making in real time.
Practical strategies for governing, securing, and controlling autonomous AI agents before they become a security risk.