Asylon announced a collaboration with NVIDIA to develop next-generation AI-powered analytics for autonomous robotic security systems, introducing a new capability called DroneIQ Overwatch within its DroneIQ platform.
The new offering is designed to support what the companies describe as “Physical AI,” where humans, robots and artificial intelligence operate together in live environments.
DroneIQ Overwatch is expected to roll out in 2026.
According to the announcement, Asylon’s robotic security systems are centrally managed through its DroneIQ software and supported by a 24/7 Robotic Security Operations Center. The new Overwatch capability adds an AI layer that continuously analyzes live robotic video streams and operational data, identifying anomalies and defined security events for human review.
The system is designed to function as an initial layer of situational awareness, augmenting human operators by surfacing potential threats while maintaining human verification and oversight.
DroneIQ Overwatch leverages NVIDIA accelerated computing and AI frameworks across both edge and cloud environments. Asylon’s robotic platforms use NVIDIA Jetson modules for onboard processing, enabling edge-based inference on deployed assets. In parallel, cloud-based GPU infrastructure supports analytics, model orchestration and ongoing AI refinement.
The hybrid edge-to-cloud architecture is intended to enable real-time anomaly detection at the edge, centralized model management, customizable detection capabilities and scalable analytics across robotic fleets.
Asylon stated the new capability reflects its broader strategy to integrate intelligence directly into physical security systems as organizations face increasing complexity, workforce constraints and rising operational costs.
The company plans to showcase its robotic platforms and discuss DroneIQ Overwatch at ISC West in Las Vegas.
