1. Establish the authority
Identify the human or system delegating the work and the agent performing it. Give the assignment an explicit scope: resources, permitted actions, environment, parameters, and expiry. An agent’s description of its intent is not an authorization grant.
2. Bring trusted context to the decision
Retrieve relevant permissions, sensitivity, ownership, and criticality from authoritative systems. Preserve source references and freshness. Define a restricted or approval-required path when context is missing, stale, or conflicting.
3. Enforce at the execution boundary
Evaluate the exact operation before the tool executes. Bind any human approval to the request that was reviewed. A changed target, parameter, or policy may require a new decision. Credential scope and network paths must support the boundary; a proxy controls only traffic that passes through it.
4. Preserve the data-use restriction
Permission to read a record does not imply permission to disclose it. Carry trusted source and sensitivity context into the outbound action. When an integration cannot preserve that association, apply a conservative workflow restriction or exclude the path from the protected scope.
5. Record the actual outcome
Link the initiating principal, agent, assignment, source context, policy version, decision, execution attempt, and result. Separate a denied request from an executed action. Treat timeout or ambiguous executor responses as unknown until reconciled.
6. Verify intervention
Authenticate and scope response requests. Confirm their effect—for example, by verifying that subsequent protected access fails. Record residual exposure from in-flight work or downstream credentials. Revoking authority does not undo an action already completed.
Connect the supporting technology
UAICP defines portable contracts for workflow evidence, verification, and policy checks. MCP provides agent-to-tool connectivity. VybeCode supplies an engineering supervision surface, while RabbitLock is an option for secrets management. Databridle is the enterprise authorization and evidence layer in the proposed deployment architecture.
Implementation maps those contracts and interfaces to the protected paths, validates identity and approvals, and connects the customer’s existing systems. A reference library or transport alone does not establish the enforcement boundary.
Explore the technology and open source ↗Keep the model effective as systems change
Re-run normal and adverse scenarios after relevant changes to policies, permissions, tools, or integrations. Measure legitimate work blocked, context freshness, incident reconstruction, containment behavior, and operational cost.
Explore the Databridle architecture ↗