Map AI exposure
Trace models, agents and connectors back to the identities, systems and data they can access.
Bring AI application exposure, identity signals and incident response into one workflow, with clear evidence for every decision.
A shared view for security operations, AI engineering and risk teams, from mapping where AI connects to sensitive systems through reviewing a proposed response.
Trace models, agents and connectors back to the identities, systems and data they can access.
Bring identity activity, model calls and application events into a single incident timeline.
Review the evidence, approve a targeted containment step and retain a record of the decision.
Follow an illustrative incident from the first anomalous request through an analyst-approved response.
The request triggers a review because it reaches a restricted collection outside the agent’s normal workflow.
The analyst follows the request from the agent through its service identity and connector to the affected records, then checks which policy granted access.
The proposed action preserves the support agent’s routine work. The incident record captures the evidence, approval and permission change.
A staged rollout gives security, engineering and risk teams a way to agree on evidence, approval and access controls before expanding coverage.
Choose an application, its identities, the data it can reach and the actions that need approval.
Run controlled scenarios against expected behavior and record any gaps in available telemetry.
Set decision rights, escalation routes and evidence requirements before broadening the rollout.
See how an analyst could trace one agent’s access and decide where to intervene.