THE EXECUTION CONTROL LAYER FOR AI
Control what AI agents can execute
An AI agent’s ability to call a tool does not establish permission to create an effect. KƎƎLO™ enforces the transition from proposed action to authorised controlled execution.
Capability ≠ Authority.
How do you control autonomous AI agents?
Define the permitted action, organisation policy and delegated authority. Route consequential effects through an enforced gateway and controlled adapters. Preserve command identity, execution state, receiver receipts and outcome evidence. Reconcile interrupted or repeated attempts before treating the operation as complete.
Can an agent bypass a denied action through another route?
The No Means No proof tested nine materially distinct runtime routes converging at the execution gateway. Across 100,000 attempts, the tested configuration recorded zero route-substitution bypasses and zero unauthorised effective executions.
What happens when an agent repeats a command?
Idempotency and durable execution state connect repeat requests to the existing operation. The Rogue Fleet proof recorded zero duplicate effective executions across 100,000 commands and recovered across three forced interruptions. Those results apply to the tested receiver contract.
How does this relate to prompt injection and hallucinations?
Manipulated inputs or incorrect reasoning can lead an agent to propose an unsafe action. An independent execution boundary can constrain effects to permitted operations. KƎƎLO™ complements input security and model evaluation by enforcing action authority. It does not establish that every malicious input or incorrect answer will be detected.
What does an enterprise integration require?
Inventory the tools and effect paths, define authority owners, scope adapters, identify durable receipt sources and test denial across each route. Match the integration’s control claims to observed receiver effects and recovery evidence.
Evidence and deployment scope
- Evidenced/Current Published controlled execution, denial, duplicate prevention and recovery results. Read the source reports.
- Next Proving Work Validate the selected connectors, evidence producers, policy rules and receiver effects in the target environment.
- Destination Case Extend the same organisation-neutral execution architecture across additional operational domains.