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Platform / KLA Runtime

Stop a data export at the tool boundary.

KLA checks the destination before an agent sends customer data. An approved system receives the export. A destination outside the Data Boundary is blocked before the tool is called.

The same boundary protects a system write, an access change or an outgoing message.

Data Boundaries

Customer operations agent

Export customer records

Check the destinationKLA Policy Engine
Block

The export tool is not called. The requested destination is outside the policy.

Connect the path you need to control.

The checkpoint sits before the side effect and sees the exact operation the agent requests.

Route the consequential call
The agent sends the proposed action and its context through a KLA checkpoint.
Enforce the outcome
Allow and warn proceed. Require approval holds the action for review. Block stops the call.
Record what happened
KLA links the downstream response or error to the original request, including retries and interrupted approvals.

Show where the request stopped.

Reviewers need to see both the decision and the result returned by the system that executed the action.

Requested operation

What it contains

Agent identity, tool, parameters and correlation identifier

Question it answers

Which action reached the checkpoint

Control outcome

What it contains

Policy version, decision, reasons and any linked approval

Question it answers

What the execution path was permitted to do

Downstream response

What it contains

Captured result, error and timestamps

Question it answers

What the connected system returned

Schemas and examples.

Use the schemas and worked examples to review the integration and evidence requirements.

Read the policy decision model

Find the point where the action becomes consequential.

Bring one tool call and the system it changes. We find the checkpoint, the context it needs and the failure cases to test.

Book a demo

A 30 minute working session to scope one workflow.

Live Intercepts for AI Agent Actions | KLA