Refractal is an AI security, assurance and control layer for government, defense and regulated organizations deploying agents, copilots, and other enterprise AI systems. Delivered as a software platform that integrates with existing telemetry and observability tooling, Refractal uses runtime monitoring, policy enforcement and continual learning to protect and capture how AI systems behave in practice: what are the possible vectors of attack, what agents able to do, which tools and skills they invoke, what actions did they make, what data they access or output, and what real-world side effects they create. It continuously improves by learning from historical traces, emerging failure modes and real-world incidents, strengthening detection and policy coverage over time. Refractal is agnostic across stacks and sectors, allowing organizations to apply consistent oversight across multiple vendors and workflows.