First-class agent identities
Agents are not shadow users. Each has explicit scope and policy bindings so human and agent activity are distinguishable when you need to prove what happened.
Use case · AI governance
When an AI agent touches sensitive data, most systems log it under a human identity — or don't log it at all. Stellarbridge treats AI agents as first-class governed identities with their own policy bindings and a separate audit trail.
Agents are not shadow users. Each has explicit scope and policy bindings so human and agent activity are distinguishable when you need to prove what happened.
Before an agent reads, copies, or shares a file, the policy engine decides allow, deny, or human approval — the same enforcement layer as the rest of your organization.
Not just who accessed what — what was attempted, whether it was allowed, and when — in a trail built for compliance and incident response.