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Most teams can’t answer. Omada Agent Governance is built to change that
AI agents are being created fast, often by teams outside IT, accumulating access no one is tracking. The governance disciplines built for human identities were not designed for this. Most organizations cannot say who owns each agent, what it can reach, or whether the access it holds is actually being used. Those are the gaps where risk concentrates.
Omada Agent Governance gives you the evidence to answer all of them.
Omada assigns a business sponsor and a technical owner to every agent in your estate, and flags agents that have neither. Ownership remains accurate as teams change, through support for owner groups, not just individuals. Risk without an owner is risk no one will act on.
Omada maps the full chain an agent can touch: systems, data, permissions, connectors, and downstream agents it can trigger. If an agent is compromised, you need to know the blast radius, not just the first hop. That is the question a flat access list cannot answer.
Omada compares every permission an agent holds against what it has actually used, and surfaces the access it never touches. The result is a clear, evidence-backed reduction list, with the documentation to make changes your auditors can verify.
Link Microsoft, AWS, and ServiceNow through a guided setup wizard. Credentials are encrypted and stored securely.
Omada builds one clean, deduplicated inventory of every agent and non-human identity across your connected systems, including what each one can reach.
Assign owners, score risk, and work through a prioritized findings list. Missing owners, dormant agents, and permission drift, are surfaced automatically and routed to the right person.
Export audit-ready evidence and publish governed agent identities to your existing IGA platform as a source system. The record of what changed, when, and who was accountable is always available.
Your existing identity platforms stay in place. Omada Agent Governance runs alongside them, governing agents across Microsoft, AWS, and ServiceNow. Governed agent identities are published back to your existing IGA platform as a source system. You keep the lifecycle tooling you rely on. Omada handles the agent-specific governance your IGA platform was not built for.
No rip-and-replace. No hyperscaler lock-in.
Omada scores agent risk against configurable rules and maps findings to recognized frameworks, including NIST AI RMF, the EU AI Act, ISO 42001, OWASP, and MITRE ATLAS.
The result is evidence presented in the language your auditors, risk teams, and board already understand, generated directly from your environment rather than assembled manually.
Your data. Your environment. Your evidence.
FREQUENTLY ASKED QUESTIONS
Yes. Omada Agent Governance is designed to run alongside your existing identity platforms, not replace them. It governs agents across Microsoft, AWS, and ServiceNow. If you have an existing IGA platform, governed agent identities are published back to it as a source system. It can also run independently, without an identity platform in place. No existing identity platform is required.
No. Omada Agent Governance is platform-agnostic. It governs agents across major cloud environments and works independently of any single hyperscaler or identity vendor.
Omada maps agent risk findings to recognized frameworks including NIST AI RMF, the EU AI Act, ISO 42001, OWASP, and MITRE ATLAS, so the evidence it produces is in the language your auditors and regulators already expect.
A technical preview is targeted for Q4 2026, with production readiness targeted for H1 2027. These are current plans and subject to change.
Any organization deploying AI agents faces the governance challenges Omada Agent Governance is designed to address. Regulated industries where accountability and audit requirements are most acute tend to see the strongest fit, including financial services, banking, insurance, healthcare, life sciences, pharmaceuticals, manufacturing, energy and utilities, telecommunications, the public sector, defense, and higher education. Organizations subject to the EU AI Act, NIST AI RMF, or sector-specific AI governance mandates will find the framework mapping capability particularly relevant.
AI agent ownership is still evolving in most organizations, so evaluation typically spans several teams. The personas most directly involved are:
In 20 minutes, we walk you through a real agent estate: the riskiest agents ranked by
exposure, one agent's true reach, and its granted-versus-used access, all in a
representative environment so the picture is concrete.