DroneTracker v4 uses an AI-driven approach that combines RF signature analysis, optical and infrared sensor feeds, and radar inputs to detect commercial drones from 3 km away with fewer than 2% false positives per day in urban environments. Multi-sensor fusion correlates independent detections across sensor modalities, tracking a drone through temporary RF silence as it switches to autonomous waypoint mode. Automatic classification identifies drone model, serial number prefix, and controller location from RF telemetry when detectable, supporting law enforcement prosecution. Integration with counter-UAS effectors (jammers, net launchers) via API enables automated or operator-initiated interdiction within the system’s rules of engagement. FedRAMP authorised for US government deployments; deployed at 2023 FIFA World Cup venues and US critical infrastructure.