See what each agent can reach, what evidence supports the access, and what may be affected before you approve, constrain, or remove it.
Get one defensible outcome: Approve, Constrain, Reject, or Unknown.
Before access stays, expands, or gets removed, know which systems an agent can reach, who owns it, and what evidence supports the request.
What can it reach?
Who owns the access?
What may be affected?
Evidence should end in an action, not another dashboard. Each agent access decision gets a clear outcome or an honest Unknown.
Access is supported by ownership, reach, and observed behavior.
Access is needed, but scope should shrink before it stays.
Evidence does not support production access.
Evidence is missing, stale, or contradictory. Escalate before approving.
IAM shows configured access. Logs show observed behavior. Tickets show intent. Security needs all three before production AI agent access is approved or reduced.
IAM shows configured access, not whether it is justified.
SOC tools show alerts, not approval context.
ITSM shows intended work, not production impact.
GRC tools show controls, not production behavior.
Cloud tools show posture, not dev and staging agents with access into production.
Approve production AI agents with evidence from the identity, SOC, workflow, cloud, and data tools your teams already use.
Built for environments using Entra, Sentinel, Defender, Copilot, Foundry, and Azure.
Routes review and response into owner, ITSM, IAM, IGA, PAM, and SOC workflows.
Find dev, staging, and test agents with access paths into production.
Read-only. Metadata-only. No content inspection. Use execution records, identity data, configured permissions, and connected-system context to see what an agent touched, what it can affect, who owns it, and what may change if access is removed.
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