Ultimate Guide to Identity for AI
AI agents now interact with applications, data, and other systems on behalf of people and organizations. Their ability to reason and act creates opportunities for efficiency and new digital experiences, but also raises questions about authority, accountability, and control that traditional human and machine identity models were not designed to answer. This guide introduces Identity for AI as a foundation for trustworthy agentic operations. It explains how distinct agent identities, authenticated delegation, least privilege, oversight, and auditability can help leaders scale AI initiatives while reducing exposure to unauthorized actions and preserving confidence in digital journeys.
Key Takeaways
- How agentic identity differs from human and conventional machine identity.
- Why delegation and action accountability matter for AI adoption.
- Core controls for governing agent access and high-risk activity.
- How identity supports scalable AI use across customer and workforce settings.