A provider-flexible control layer for production AI agents, giving organisations a consistent way to manage agent identity, short-lived capabilities, deny-by-default permissions, tool and budget constraints, approvals, revocation, memory boundaries, observability and tamper-evident operational evidence.
Identity & permission control
Define which agent can act, issue tenant-bound short-lived capabilities, constrain the systems, tools, recipients, environments and budgets it can reach, and revoke access immediately when required.
Human approvals
Route consequential actions through named, time-bound human approval gates before sensitive, external, destructive or high-value steps can execute.
Runtime policy
Apply deny-by-default runtime policy for tools, data, destinations, monetary limits, environments and action types while agents are operating.
Audit & evidence
Maintain tamper-evident records of capability issuance, approvals, tool use, outputs, revocations, exceptions and security events for investigation and audit.
One governance model across multiple agents and model providers.
The control plane is designed to remain consistent even as models, agent frameworks and business systems change, so organisations can switch providers without surrendering governance.
Start with one governed workflow.
We can map the process, risk points, approvals and evidence requirements before a wider deployment.
Start the conversation