Your AI governance policy doesn't know what your agents can access.
Know which AI agents exist, what they can access, and whether that access still matches policy, before an auditor asks.
Your AI governance policy doesn't know what your agents can access.
AI governance usually lives in a policy document: acceptable-use rules, an approval workflow, a checklist reviewed once a quarter. Meanwhile, agents, copilots, and automations connect to real systems every week, each one inheriting scopes, tokens, and permissions nobody has mapped back to that policy. By the time an audit or incident forces the question, security teams are reconstructing access after the fact, instead of already knowing the answer.
- symptomPolicy on paper
Governance rules exist in a document, not in a system that checks agents against them.
- symptomNo agent inventory
New agents and copilots get connected faster than anyone can track them for review.
- symptomAccess nobody signed off on
Agents inherit scopes and tokens that were never evaluated against the governance policy.
- symptomAudits start from zero
Every review means rebuilding the access picture by hand instead of pulling one from record.
Wing maps every agent to its access, checks it against policy, and keeps the evidence ready to show.
- 01DISCOVERFind every agent covered by policy, and every one that should be
Wing continuously catalogs agents, copilots, and automations across the environment, so governance applies to what's actually running, not just what's been approved.
- 02MAPConnect each agent to its access and its owner
Wing maps every agent to its identity, permissions, and connected systems, so you know exactly what governance is supposed to be watching.
- 03ENFORCECheck access against governance policy
Wing flags agents whose access falls outside policy, so gaps get caught during normal operations, not just during a review cycle.
- 04AUDITProduce evidence auditors can actually use
Wing keeps a standing record of every agent, its access, and every change, so governance reporting is a pull, not a project.
A diagram, not a deck.
Sources → Wing agents → outcomes.
- SaaS audit APIs
- OAuth grants
- Okta / Entra
- Agent registries
- Policy engine
- Observability Agent
- Control Agent
- Enforcement Agent
- Notification Agent
- Claude
- Copilot
- Agent inventory
- Policy alignment
- Evidence pack
- Exec dashboard
"Our AI governance policy used to live in a slide deck. Now it's a system that tells us exactly which agents are in or out of policy, and why."