Who controls your AI agents?

An AI agent can have permission for every individual step and still produce an outcome the company never intended. How do you keep control once software can choose its own route to a goal? Dr. Heiko Klarl, CEO of Nexis, joins Kim Isenberg and Peter Thum to discuss AI agent security, identity and access management, and the practical limits of agent governance.

They talk about agents handling invoices and payments, why a model update can change an agent’s behavior, and what happens when an agent’s human owner leaves the company. Heiko distinguishes policy governance from runtime enforcement, explains the need for standards for delegated authority, and describes how enterprises discover agents and review their access.