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CROA

Constrain what AI agents can reach

CROA provides a robust, open, and vendor-neutral framework for managing the execution of agent-based systems. It focuses on separating operational direction from the ability to act, ensuring that actions are rigorously checked against predefined rules before any system state changes occur. Key capabilities include: * Execution governance for agentic systems * Separation of operational direction and action authority * Constraint enforcement against registered invariants * Auditable and deterministic execution paths * Public pilot for reproducibility and testing This architecture is designed to address the challenges of execution ambiguity and potential risks in complex agentic environments. Unlike methods that rely on discouraging actions at the behavioral layer, CROA implements structural enforcement at the system's execution layer. This ensures that only permissible actions are ever executed, making system behavior predictable and controllable. The framework includes components like a Policy Authority, Execution Governor, Invariant Monitor, and Audit Store, all working together to create a secure operational environment. It's built for organizations deploying advanced agentic applications that require verifiable control and responsible operation. The public pilot allows users to observe the architecture in action, inspect the evidence, and rigorously test its claims.
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