Read the market by the problem it solves
“AI governance” describes several related markets. Some products focus on enterprise risk and policies. Others focus on agent identities and access. DutyGraph begins with the people doing the work and the tasks they may eventually delegate.
The map below is a representative starting point, not an exhaustive directory or a ranking. Categories overlap. Descriptions summarize vendors’ own public material, checked on September 6, 2026; they are not independent product tests.
6 organizations shown
IBM watsonx.governance
Enterprise AI governance and assurance across models, applications, and agents.
Read the source ↗Credo AI
A platform for enterprise AI governance and oversight, including agentic AI.
Read the source ↗Microsoft Entra
Agent identity objects and governance of access rights across their lifecycle.
Read the source ↗Okta
Agent visibility, least-privilege access, and identity governance.
Read the source ↗Saviynt
AI identity visibility, lifecycle governance, and access controls.
Read the source ↗DutyGraph
Advisor-led discovery connecting people, duties, tasks, and software. Governance workflow available as a fictional sample.
Explore the sample story ↗Representative map · Vendor descriptions, not tested rankings · Checked September 6, 2026
Where DutyGraph sits
Our starting point is advisor-led discovery: capture how work happens, let people review their task descriptions, and connect people, duties, tasks, and software. This gives a reviewer business context for an agent request.
Identity vendors already address agent ownership and lifecycle. DutyGraph does not claim to replace those controls. Its current governance sample uses fictional, vendor-shaped records and simulated issuance. Live provisioning and enforcement require separate integrations.
How to use this map in a buying conversation
Write down your immediate problem before creating a shortlist. If it is an unknown inventory of AI systems, ask about discovery coverage. If it is excessive access, ask about entitlement sources and enforcement. If nobody can explain the task an agent is meant to perform, start with work discovery.
For each shortlisted tool, request a walkthrough using one of your tasks. Follow the evidence from request to approval, live action, review, and removal. Record which steps the product performs and which depend on your team or another system.
Avoid the single-platform assumption
A company can need more than one layer. The important question is how they exchange identifiers, policies, decisions, and audit records. Check that a human owner means the same person across HR, identity, and governance records.
Treat a missing connector as implementation work. Treat a simulated connector as a demo. Before production, test both normal actions and failures with the teams who own the source systems.
Sources
Primary references used in this guide.