Okta addresses the pressing need for security in AI as its adoption accelerates. Organizations are facing a shift from Shadow IT to Shadow AI, where AI agents operate without oversight, posing significant risks. About 80% of organizations report experiencing unintended agent behavior, and 23% have faced credential exposure due to these agents. The lack of governance means that many agents operate with excessive privileges, accessing sensitive data they shouldn't be able to reach. To combat these issues, Okta emphasizes a two-pronged approach: building secure AI agents and managing them effectively. Developers should integrate security features, like fine-grained authorization and token vaulting, directly into the agents' code from the start. For security and IT teams, a unified control platform is essential. This allows for the detection and registration of agents, enforcing access policies, and managing lifecycle events, ensuring accountability through mandatory human ownership of each agent. Okta’s identity security framework aims to treat AI agents as first-class identities, implementing strict authentication and governance. This is critical as agents can function like "super admins," executing tasks autonomously. The introduction of Cross App Access offers a standardized way for agents to connect to applications securely, replacing risky practices with policy-based access managed by identity providers. This change enhances visibility for enterprise admins and reduces consent fatigue for end-users, streamlining the interaction between AI agents and critical applications.