Okta Launches Cross App Access Protocol for Secure AI Agent Workflows
Okta introduces Cross App Access protocol to streamline and secure AI agent interactions in enterprise systems, shifting access controls to identity providers for better governance.
June 24, 2025 — As AI agents become increasingly integrated into enterprise workflows, managing their interactions with applications and data has emerged as a critical challenge. Okta Inc. has responded with its new Cross App Access protocol, designed to simplify and secure these interactions by centralizing access controls under identity providers.
The Challenge of AI Agent Governance
Traditional identity standards were not built to handle the non-deterministic behavior of AI agents, which often initiate app-to-app communication independently. This creates gaps in visibility and control for IT teams. Okta's solution shifts access management from end users to the identity provider, enabling:
- Centralized policy-driven governance over AI agent interactions
- Reduced token sprawl across enterprise systems
- Consistent compliance even as AI tools connect with dozens of applications
How Cross App Access Works
The protocol allows AI agents to obtain tokens directly from Okta, which evaluates each request against enterprise-defined policies. This approach:
- Eliminates repetitive authorization prompts for users
- Maintains security controls while streamlining workflows
- Provides IT teams with a unified framework for oversight
Industry Implications
This launch reflects a broader industry shift as identity management systems evolve to accommodate AI-driven workflows. According to SiliconANGLE, the solution addresses the growing need for structure in AI-enabled enterprise interactions without adding user friction.
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"With Cross App Access, Okta provides a way to bring structure, visibility, and security to the growing mesh of AI-enabled enterprise interactions," the company stated. The solution is now available for enterprise customers.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.