US-based drone detection firm AirSight has expanded its AirGuard platform with a new ADS-B data integration layer, adding another sensing modality to its already multi-sensor counter-UAS architecture.
What Is ADS-B and Why Does It Matter for Drone Detection?
ADS-B (Automatic Dependent Surveillance-Broadcast) is a surveillance technology widely used in manned aviation. Aircraft equipped with ADS-B transponders continuously broadcast their position, altitude, speed, and identification to ground stations and other aircraft. By incorporating this data layer into AirGuard, AirSight gains visibility into cooperative manned air traffic operating in the same airspace as potential drone threats.
This is a significant capability addition for airspace security operators. One of the core challenges in counter-drone operations is distinguishing unmanned aircraft from legitimate manned traffic. Having ADS-B data fused directly into a detection platform helps operators build a more complete picture of the airspace, reducing the risk of false positives and improving situational awareness.
AirGuard's Open, Multi-Sensor Architecture
AirGuard is designed around an open platform philosophy, meaning it can integrate data from a variety of sensor types rather than relying on a single detection method. Multi-sensor fusion is widely considered best practice in counter-UAS (C-UAS) operations, as no single technology — whether radar, RF detection, acoustic sensing, or optical tracking — can reliably detect all drone types in all environments.
The addition of an ADS-B layer complements these existing capabilities by providing real-time cooperative traffic data, allowing the system to correlate known manned aircraft positions against unidentified aerial contacts flagged by other sensors.
Growing Demand for Integrated Airspace Awareness
The move reflects a broader industry trend toward unified airspace management, where drone detection systems must account not just for rogue UAS but also for the expanding ecosystem of legitimate drone traffic, air taxis, and traditional aviation sharing increasingly congested low-altitude airspace.
As remote ID requirements take hold and UTM (Unmanned Traffic Management) systems mature, platforms like AirGuard that can ingest multiple data streams — both cooperative and non-cooperative — are becoming increasingly valuable to airports, critical infrastructure operators, and defense customers.
AirSight announced the update via a LinkedIn post, signaling continued development momentum for the AirGuard platform.