Detect and track UAVs by analysing LTE signalling patterns, without inspecting user data.
![[background image] image of construction team meeting for a construction company](https://cdn.prod.website-files.com/6898adefc7092a5077cea134/68a736c3b875e3cceea9086e_Screenshot%202025-08-15%20at%2017.04.50%20redacted.png)
Unlock actionable intelligence from LTE signalling — from mobility insights to UAV detection and system integration.
Drones equipped with LTE 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.
![[interface] image carousel of ai innovations (for an ai healthcare company)](https://cdn.prod.website-files.com/image-generation-assets/8e7a9a7e-e38d-4eb9-ad98-3742b070f6bd.avif)
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.
