AI-driven signal analysis paired with real hardware to autonomously characterize and secure RF links.
The RF Interceptor combines AI-driven signal analysis with real hardware to autonomously acquire knowledge about the radio-frequency environment and establish secure connections.
It is the hardware expression of Automatonix's Security-as-a-Service direction: treating the spectrum itself as an attack surface that has to be understood before it can be defended.
Automatonix treats cybersecurity as a core product rather than a feature, with coverage spanning more than 50 classes of attack vector including protocol tampering, signal injection and firmware-level compromise. The RF Interceptor addresses the physical layer of that surface, where conventional network defences have no visibility.