Runtime and tenant identity
Know which tenant, runtime, workspace, and owner are associated with each agent.
Governance and auditability
How do companies govern AI-agent permissions and tools?
Govern AI-agent permissions by giving every managed runtime a named owner and tenant boundary, limiting its skills, tools, credentials, data, and delivery rights, and retaining evidence of runs, approvals, changes, and exceptions. Bewize Hub provides named operating controls for this review; those controls do not constitute a blanket security or compliance guarantee.
The operations checklist
An audit-friendly agent program connects control points to evidence and an owner.
Policy and capability boundary
Define which skills, tools, data, runtime behaviors, and delivery actions are available.
Access and secrets
Track access state and managed credential metadata without exposing raw secrets.
Approval and exceptions
Identify which actions require review, who can approve them, and how rejection or failure returns to an accountable owner.
Run and usage evidence
Review outcomes, token usage, schedules, and operational signals tied to the runtime.
Evidence sources
Security governance
Tenant isolation, policy APIs, managed secrets, access blocking, and redaction controls.
Learn more →Bewize Hub console
Fleet state, run history, schedules, files, skills, and configuration context.
Learn more →Evaluation
Pair operational controls with evaluation evidence before widening agent capabilities.
Learn more →AI agent audit FAQ
Does an audit mean recording every model token or internal thought?
The practical scope is operational evidence such as runtime identity, access state, run history, tool activity where exposed, usage, schedules, and policy changes. Do not infer access to private model internals.
How should teams handle secrets during an audit?
Review secret metadata, scope, status, and refresh controls while keeping raw secret values out of casually copyable operator surfaces.
What is the first control to establish?
Start with a tenant and runtime inventory, then connect each agent to an owner, policy boundary, access state, and evidence record.
Is a tool permission the same as approval to use it?
No. Permission defines the available capability. The workflow must separately define when the agent may use it, which actions require human approval, and what evidence remains afterward.