AI agents challenge traditional IAM by acting at machine speed and scale, with unpredictable access patterns that human-centric security models weren’t designed for. Prompt injection, credential exposure and multi-agent delegation create attack paths that conventional authentication and authorization controls struggle to govern. Existing behavioral monitoring can be effectively blind to autonomous agents, while ownership, accountability, recertification and offboarding are often missing.

KuppingerCole argues this is not another security-product problem: organizations need agent inventories, explicit ownership, short-lived credentials and stronger lifecycle governance. The conclusion: secure Agentic AI requires treating every AI agent as an identity within the Identity Fabric, with governance and accountability built into the architecture.

Read Kuppingercole article for more information.