Omada, a Copenhagen-based identity governance specialist, has unveiled a strategy aimed at governing the increasing number of non-human and AI-driven identities in enterprises. The company also launched a new Model Context Protocol (MCP) Server designed specifically for developers, marking a significant step in extending identity governance and administration (IGA) principles beyond human users.
This new strategy focuses on machine identities, autonomous agents, and AI interfaces that are becoming integral to business processes and decision-making flows. Omada’s approach represents a shift from merely using AI within governance tools to applying governance frameworks directly to AI systems themselves. The company emphasizes the pressing need for organizations to have oversight of AI agents, including how they act, which resources they access, and the decisions they influence.
“At Omada, we are committed to making IGA for AI a strategic reality,” said Benoit Grangé, Chief Technology and Product Officer at Omada. He highlighted the company’s roadmap, which integrates unified governance, observability, and an open, connected ecosystem, enabling organizations to delegate responsibilities to both humans and AI agents while maintaining complete oversight and policy control at scale.
As enterprises increasingly incorporate autonomous and semi-autonomous AI agents into their workflows—spanning functions such as IT service management, HR, finance, and customer support—Omada argues that these agents constitute a new class of identities. Like employees and contractors, these AI agents require the same level of governance, including policy-based access control, monitoring, and audit trails for their actions within business systems.
Omada’s strategic focus revolves around real-time monitoring and control of AI-driven actions and collaborations. The company stressed the importance of maintaining a consistent identity context for every agent and interface that engages with corporate data, ensuring that governance remains intact as AI technologies evolve.
The introduction of the MCP Server serves as the initial phase of this broader strategy. It offers developers a standardized, secure connection between Omada’s governed identity data and various AI assistants, automation tools, and enterprise applications. The MCP Server facilitates a controlled exposure of identity information and policies, supporting integration with emerging AI tools while adhering to corporate governance structures.
With the MCP Server, developers can create and test AI-driven workflows that are responsive to identity context, which includes role information, approvals, and entitlements defined in Omada’s IGA platform. This new offering is positioned as a bridge between existing identity governance investments and contemporary AI and automation environments, ensuring that identity data remains under governance even as AI systems leverage it.
According to Omada, extending governed identity intelligence into existing tools and agents will lead to a more consistent security posture. The company anticipates that this will enhance internal automation initiatives and external AI services adopted by enterprises. Identity intelligence encompasses structured information about users, roles, access rights, and policy decisions, which can inform AI systems about permissible actions and conditions.
Omada has also stated that governance for AI agents will include lifecycle management, addressing how these agents are created, updated, decommissioned, and how their permissions evolve over time. The release of the MCP Server marks the start of Omada’s comprehensive roadmap for AI IGA, with plans for further advancements in unified governance and observability for both human and non-human identities.
This strategic pivot comes as many large organizations experiment with generative AI and autonomous agents in controlled pilots, often raising critical questions about security, regulatory compliance, and auditability. Omada’s strategy is designed to address this shift in how enterprises deploy intelligent systems, positioning identity governance as a foundation for trust and accountability as AI agents operate at a larger scale.
As the company looks to the future, it aims to create what it describes as a secure and accountable digital fabric that encompasses humans, machines, and AI interfaces. Omada plans to extend governance into the evolving landscape of intelligent systems as enterprises transition from initial AI pilot programs towards broader, production-level deployments.
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