AI agents are increasingly given access to enterprise systems, but that access can be hard to contain. According to Token Security, agents can use valid credentials to perform actions beyond their assigned permissions, creating risks that traditional access controls may not prevent. The problem is not stolen credentials or broken authentication, but the fact that an agent's legitimate access can be stretched further than intended.
The proposed solution is to enforce agent-specific policies that define what an agent is allowed to do, rather than relying solely on the permissions attached to its credentials. This approach aims to keep agents within their boundaries while still allowing them to operate autonomously. Token Security explains how organisations can implement such policies without constantly intervening in the agent's workflow.
The guidance is aimed at security teams trying to balance usefulness and risk. Because the source is a single vendor's explanation, the article does not compare multiple approaches, but it highlights a growing concern as AI agents take on more responsibilities in enterprise environments.