AI agent access governance
Give the agent the task. Keep authority request-specific.
An AI agent's authority is the combination of identity, data, credentials, tools, routes, execution, endpoints, and output paths available to the request—not only the model call.
Evaluate effective authorityDirect answer
Govern the complete request, not one permission in isolation.
AI agent access governance defines who or what is acting, the result required, the resources and actions allowed, the duration and route, the review or control points, and the outputs that may cross the boundary. Durable policy should remain outside the agent and runtime.
- Scope data, tools, models, compute, applications, endpoints, and output paths together.
- Require separate authorization for review, publication, or high-impact actions where policy calls for it.
- Connect material decisions and actions to the request and its lifecycle.
Effective authority
Ask what the complete request can reach and do.
Identity and delegation
Which human, service, or agent identity acts, and under whose approved authority?
Resources and execution
Which files, data views, models, tools, credentials, mounts, applications, compute, sandboxes, and endpoints are selected?
Actions and routes
Which operations, network destinations, protected systems, review points, and control transfers are available?
Outputs and lifecycle
What may be published or transferred, who approves it, when authority ends, and what evidence remains?
SautX Agentic Workspace
Resolve centrally. Validate where work runs.
Admin owns durable identity, policy, eligible resources, routing, lifecycle, and evidence relationships. The User Portal presents the approved work. The selected Resource Edge and Site validate scoped authority and materialize eligible execution.
Agentic Workspace separates private Session work from shared Workspace state and treats publication as an explicit operation. Exact controls and integrations vary by implementation.
Review Agentic WorkspaceSources and context
Primary sources used.
These sources support the problem framing and practitioner context. They do not endorse SautX or verify a SautX product claim.
Start with the work
Bring one AI-assisted task. Map its effective authority.
Describe the non-sensitive result, actors, selected resources, actions, review, outputs, lifecycle, and ambient authority the request should avoid.
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