As AI agents begin to access enterprise data, invoke APIs, coordinate workflows, and take actions across cloud platforms, organizations face a new security problem: autonomous software actors operating with delegated authority.

This session presents a practical architecture for securing Agentic AI in cloud environments. It covers non-human identity, least-privilege access, delegated authorization, policy enforcement, tool governance, behavioral observability, human approval, and failure containment.

Attendees will learn how to separate probabilistic AI reasoning from deterministic security controls and how to apply Zero Trust principles when agents interact with APIs, SaaS platforms, enterprise services, and sensitive data. The session also explores practical patterns for detecting abnormal agent behavior, limiting blast radius, maintaining auditability, and governing autonomous actions across distributed cloud environments.

The goal is to provide security architects, cloud engineers, and technology leaders with a vendor-neutral framework for moving Agentic AI from experimentation into secure enterprise operation.