AI agents are already acting across APIs, workflows, websites, chat, voice, and video. Many operate without the identity signals security teams rely on to control access and risk.  

As AI automation scales, identity becomes a control plane for AI trust, risk, and security. Without verified identities, agents can trigger runaway loops, deepfake scams, and unauthorized actions at machine speed.   

This complimentary Gartner® report examines why traditional IAM must evolve to manage both known and unknown AI identities. 

Our key takeaways

• Why legacy IAM controls fall short for AI agents 

• The three critical AI identity management use cases: enterprise-managed agents, anonymous web-interfacing agents, and undeclared AI agents in multimedia channels 

• How real-time profiling, agent fingerprinting, and adaptive access controls can help distinguish beneficial automation from malicious threats 

• Identity and access measures for managing emerging AI agent risks 

Gartner, Market Guide for AI Assistants for Infrastructure as Code, Hassan Ennaciri, Daniel Betts, Chris Saunderson, Owen Marino, 27 March 2026. GARTNER is a trademark of Gartner, Inc. and/or its affiliates.