Omada Advances AI-Ready Governance with the Model Context Protocol Initiative

Building the Bridge Between Identity Governance and AI Systems

The rapid evolution of AI and autonomous systems is transforming how enterprises think about identity, access, and accountability. Organizations are now responsible not only for managing human identities but also for governing intelligent systems and automated agents acting on their behalf. This shift demands governance that extends across all forms of digital actors, ensuring transparency, consistency, and control.

Omada’s MCP Server implementation represents a decisive step toward that future. As an early milestone in the evolution from AI for IGA toward IGA for AI, it focuses on using AI to extend and simplify governance capabilities today. By providing a developer reference for customers who want to explore this capability further, Omada offers a secure, open foundation for developers and identity professionals to explore how applications, AI agents, and governance systems can interact through standardized, policy-aware protocols. This first implementation demonstrates how AI can enhance identity governance while establishing the groundwork for governing AI systems.

Why MCP Matters

MCP is an emerging standard that enables AI systems and enterprise applications to communicate safely and consistently. It acts as a universal connector that standardizes how intelligent systems interact with data sources, governance platforms, and business applications. While MCP provides the integration layer that enables this connectivity, Omada’s IGA platform remains the system of governance, applying the policies, controls, and oversight that ensure these interactions are secure and compliant. Together, MCP and IGA create a governed pathway for AI and automation to operate within enterprise policy boundaries.

For identity governance, MCP provides a controlled pathway for AI to access and act on enterprise data. When combined with Omada’s governance capabilities, this ensures that access decisions, data queries, and actions taken by intelligent agents remain compliant with policy. This standardization, comparable to how USB unified device connectivity, brings consistency and trust to AI interoperability.

The Developer Reference: A Foundation for Secure Innovation

The Omada MCP Developer Reference demonstrates how an MCP Server can safely expose identity data from the Omada platform to AI agents and other connected systems. It provides configuration examples, templates, and early-access materials for developers exploring how AI can enhance identity processes through governed interaction. This first step remains focused on using AI for IGA, allowing agents to connect to Omada through MCP and experiment with governed access scenarios rather than testing autonomous AI governance.

This initiative is not a product launch but an open foundation for exploration. It invites developers and partners to experiment within a secure governance framework. Omada’s goal is to help enterprises understand how AI can consume governed identity data responsibly while maintaining full visibility and control over what data AI systems access and how they use it.

From AI for IGA to IGA for AI

Omada’s MCP integration initiative reflects a broader transformation in enterprise governance strategy. Today, AI for IGA is about using machine learning and automation to make governance more adaptive, efficient, and data-driven. Over time, these same principles will evolve into IGA for AI, where governance frameworks will monitor and regulate the behavior of AI systems themselves to ensure transparency, compliance, and accountability.

MCP enables AI systems to access identity data through governed, auditable channels, extending the reach of Omada’s identity platform into emerging AI ecosystems. By doing so, it forms the practical foundation for moving from automated governance to governed intelligence. Each advancement builds on the last, ensuring that as AI becomes more embedded in enterprise operations, Omada’s governance capabilities continue to define the standards of control, oversight, and trust.

Meeting the New Customer Reality

Across industries, organizations are deploying AI agents to optimize workflows, automate access, and support business decision-making. They need these agents to work with identity data securely. The MCP framework enables this through governed connectivity: AI agents can query and act on identity data while remaining fully auditable within Omada’s governance control plane.

This approach simplifies integration with systems such as ServiceNow, CyberArk, and SAP. It also lays the groundwork for a unified AI assistant experience across the enterprise, where identity can serve as the trust anchor for all digital interactions – human, agentic, or machine.

A Vision for Governance in the Age of Intelligence

Omada’s long-term vision is to deliver a governance control plane for AI-driven enterprises. As intelligent systems become embedded in business processes, governance must evolve to oversee and manage their operations with the same rigor applied to human users.

The MCP Developer Reference initiative is a foundational step toward that vision, establishing Omada as a leader at the intersection of identity, AI, and enterprise trust.

To learn more, or to get started using Omada’s MCP server, please contact your Omada customer representative.