Transaction and model-risk workflows.
Bind the agent to a sponsor, delegated role, model/data boundary, transaction limits, approvals and an audit-ready history.
A shared identity and evidence model for enterprises deploying AI into financial services, healthcare, critical infrastructure, technology and large-scale digital operations.
Policy ownership, engineering implementation, operational review and evidence remain connected while accountability stays with named enterprise roles.
Identity & security owns trust anchors, authentication integration, delegation, privileged control and revocation. AI platform owns model registry, agent registration and runtime telemetry. Cloud owns workload identity, region, network, keys and containment. Risk & audit defines evidence, exceptions and review cadence.
Bind the agent to a sponsor, delegated role, model/data boundary, transaction limits, approvals and an audit-ready history.
Purpose-limited access, minimum necessary data, approved models, qualified human authority and traceable safety evidence.
Repository scope, model/tool allowlists, secrets boundaries, change approval and signed execution evidence.
Track agent coverage, enforcement-point control, revocation speed, evidence completeness, material-change review and adoption of standard integration profiles.
Choose the deployment boundary based on data classification, latency, residency, integration and operational constraints while preserving the same passport semantics.