AI Agents Use Your Credentials: Security Blind Spot

Many AI agents are operating without their own distinct identity. Instead, they use credentials issued to humans or other workloads. This creates a governance blind spot because these credentials can sit outside standard identity controls. When no enterprise identity provider mediates the exchange, agent activity might not be exposed by typical identity reviews. It's crucial to first discover where these agent credentials reside and identify their human or workload owner. Prevention efforts must run alongside cleanup. This means blocking new secret exposures while migrating credentials already in use. The goal is to achieve scoped, short-lived access. This involves replacing standing, reusable credentials with agent-specific or delegated identities, backed by credentials that limit the value of anything stolen. This matters because it helps ensure better security and accountability for AI agent activities within your systems.