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Detect and track UAVs by analysing LTE signalling patterns in 4G and 5G NSA networks, without inspecting user data.
Traditionally, drone control has relied on direct RC radio frequency links: typically handheld controllers communicating over short-range radio.
4G and 5G overcomes many of the challenges of RC-control by providing wide-area connectivity through existing cellular infrastructure, often spanning entire countries.
At altitude, a UE has a much larger radio horizon. Terrain, clutter, and man-made obstructions that normally block or attenuate signals for ground users no longer apply in the same way.
Detect and track drones that are close, and get an early warning of drones miles away or even 100s of miles away. No new sensors. No new radio spectrum. Nation-wide drone detection and tracking.
Unlock actionable intelligence from LTE signalling — from mobility insights to UAV detection and system integration.
Drones equipped with 4G and 5G modems can be detected by analysing cell-to-cell transition patterns, which often show abnormal timing, frequency, and trajectories inconsistent with ground-based devices.
Process and correlate LTE S1AP events as they occur, including attachments, handovers, and paging. This delivers immediate visibility into network behaviour and enables operators and security teams to act without delay.
Identify devices whose signalling behaviour deviates from established norms using tunable rules and heuristics. Detect drones using LTE modems, flag abnormal signalling loads, and uncover potential misconfigurations or malicious activity.
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Seamlessly integrate analysed data into OSS, SIEM, or C4I platforms through APIs and feeds. The analyser strengthens existing operational systems by delivering real-time intelligence where it is needed most.
