AI agent governance and permissions
AI agent governance at the tool-action boundary
Giving an agent access to a tool is an operational decision. Robots Center's authorization gateway lets teams define which supported connector actions an agent may request, which need human approval, and which should be denied, with records operators can inspect.
Own your agent: control its identity and access
Owning your agent starts with operational control: knowing which identity it uses, choosing the permissions it receives, and deciding who can approve consequential actions. Keep the agent logic in your runtime while managing its supported API and connector access from your workspace.
Register a service agent and issue a credential with the API scopes it needs. Configure connector grants and authorization policies for the actions the runtime will request. Keeping identities separate helps operators trace a decision to the agent that made the request and revoke access without replacing every machine credential.
Route supported tool execution through the gateway. An authorization check can return allow, deny, or a requirement for approval. A runtime that calls an external service directly needs its own enforcement; gateway policies do not intercept arbitrary network traffic.
Put a reviewer before a consequential action
Consider an agent that drafts customer messages. Reading a ticket and sending a message have different consequences. Configure the supported send action to require review, then let an operator inspect the approval request before deciding whether it should proceed. The request records its outcome for later investigation.
Approval routing and expiration windows help define who can decide and how long a request remains valid. Approved gateway execution rechecks the relevant actor, connector, freeze state, and current authorization. A previous approval is not a reason to ignore changed access conditions.
Test policies and review the audit trail
Use policy simulation to examine an authorization decision without executing the tool action. Try an allowed request, a denied request, and one that should require review. These examples help expose an overly broad grant or a missing policy before the runtime depends on it.
When an incident requires containment, operators can freeze authorization at workspace, connector, or agent scope and record a reason. The control acts at subsequent checks; it is not a reversal of completed actions or a hardware emergency stop. Keep replay permissions restricted separately: replay execution is not covered by every normal gateway policy check.
Before you integrate
What is the difference between monitoring and governance?
Monitoring gives operators evidence about recorded activity. Gateway governance evaluates supported action requests before execution and can require an approval or deny the request. Both are useful, but their coverage depends on how the runtime is integrated.
Does an audit trail establish regulatory compliance?
An audit trail helps a team review access and decisions. Compliance also depends on its processes, deployment, and applicable requirements; these product controls are not a compliance certification.
Build the integration
Use the guides for the contract details, required credentials, and supported behavior.