Omada unveils AI identity governance plan & MCP tool
Omada has outlined a strategy for governing the fast-growing number of non-human and AI-driven identities in enterprises and launched a new Model Context Protocol (MCP) Server aimed at developers.
The Copenhagen-based identity governance specialist said it plans to extend identity governance and administration (IGA) principles beyond human users. The strategy targets machine identities, autonomous agents, and AI interfaces that now participate in business processes and decision flows.
Omada framed the move as a shift from using AI inside governance tools towards applying governance to AI systems themselves. The company said organisations now need oversight of how AI agents act, which resources they access and which 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. "Our roadmap brings together unified governance, observability, and an open, connected ecosystem so organisations can safely delegate responsibilities to both humans and AI agents, always with complete oversight, policy control, and trust at enterprise scale."
AI agents in focus
Omada said enterprises are starting to introduce autonomous and semi-autonomous AI agents into workflows across functions such as IT service management, HR, finance and customer support. These agents often connect to sensitive systems, act on behalf of users and make recommendations or decisions that affect operations.
The company argued that these agents create a new class of identities that require the same level of governance as employees and contractors. That includes policy-based access control, monitoring, and audit trails for actions taken inside business systems.
Omada said its strategic focus centres on real-time monitoring and control of AI-driven actions and collaborations. It highlighted the need for a consistent identity context around every agent and interface that interacts with corporate data.
MCP Server launch
As an initial step, Omada has released a Model Context Protocol Server aimed at developers. The server provides a standardised, secure connection between Omada's governed identity data and AI assistants, automation tools, and enterprise applications.
The company said the MCP Server exposes identity information and policies in a controlled manner. It said this supports integration with emerging AI tools without bypassing corporate governance structures.
Developers can use the MCP Server to build and test AI-driven workflows that respond to identity context. This includes role information, approvals and entitlements defined in Omada's IGA platform.
Omada said the new server acts as a bridge between existing identity governance investments and newer AI and automation environments. The approach keeps identity data under governance while allowing AI systems to consume it.
Governed identity data
The company said extending governed identity intelligence into existing tools and agents will create a more consistent security posture. Omada expects this to affect both internal automation initiatives and external AI services that enterprises adopt.
Identity intelligence in this context refers to structured information about users, roles, access rights and policy decisions. Omada said this information can inform AI systems about what an agent is allowed to do and under which conditions.
The firm added that governance for AI agents will include lifecycle management. This covers how agents are created, updated and decommissioned, and how their permissions change over time.
Omada said the MCP Server release marks the beginning of its broader roadmap for AI IGA. The company plans further developments in unified governance and observability for both human and non-human identities.
Industry shift
Many large organisations are currently experimenting with generative AI and autonomous agents in controlled pilots. These pilots often raise questions about security controls, regulatory compliance and auditability.
Omada said its strategy responds to this shift in how enterprises deploy intelligent systems. It sees identity governance as a foundation for trust and accountability as AI agents operate at a greater scale.
The company said it aims to create what it describes as a secure and accountable digital fabric that covers humans, machines and AI interfaces. It will continue to extend governance into the emerging landscape of intelligent systems as enterprises move from experimentation with AI agents into broader production deployments.