AI agents are rapidly becoming part of everyday business operations, acting across applications, data, and services with greater speed and autonomy than traditional systems. That shift creates new opportunities, but it also introduces new identity, access, and governance challenges that many organizations are not prepared to manage.

Traditional IAM programs were built for human users and static machine identities. They were not designed for intelligent agents that can initiate actions, operate across trust boundaries, and make decisions on behalf of users or the business. As AI adoption expands, identity becomes critical to maintaining control, reducing risk, and building trust in every agent driven interaction.

This guide from Ping Identity and Efficiently Connected explores what it takes to secure AI agents with modern identity strategies. It outlines how organizations can move beyond credential sharing and static access models to support stronger governance, better visibility, and more accountable AI operations.

Inside, readers will learn why AI agents require a distinct identity framework, how authenticated delegation helps reduce security and compliance risk, and what it takes to enforce least privilege across dynamic environments. The guide also examines key challenges such as overprivileged agents, shadow agents, lack of oversight, and adversarial behavior, along with practical approaches for improving auditability, policy enforcement, and human oversight.

For security and IAM leaders, the message is clear. If AI agents are becoming part of the environment, identity cannot be an afterthought. It must serve as the trust layer that helps organizations secure innovation without slowing it down.

Download the guide to learn how to secure AI agents with stronger identity, governance, and oversight.