AirSight has introduced new analytics capabilities for radio frequency (RF) detections in its AirGuard drone detection platform, enabling security teams to identify recurring drone activity and investigate individual flights.
The new Analytics for RF Detections (Layer 1) feature links three reports covering drone models, individual drones and flights, allowing users to trace a suspicious model through to a specific flight replay without re-entering filters.
New charts highlight repeat offenders, flight times, drone-to-pilot distances and maximum flight altitudes. The platform also adds flight data fields including pilot location, start and end locations, flight times and breached alert zones.
Users can export reports as PDFs, including charts and filtered data tables, or download the information in CSV format.
AirSight said the update is designed to reduce the time security teams spend manually compiling detection data and help them identify patterns that may indicate recurring or suspicious drone activity.
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Image: AirSight
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