A New Detection Paradigm
Industry standard RF detection systems operate on a cataloged emitter model: a drone must be cataloged in an RF dataset before it can be reliably identified. As drone proliferation accelerates and adversaries deploy increasingly novel, commercially sourced, and purpose-built systems, this limitation creates a critical and growing gap.
RfAI-3 inverts the conventional approach. Rather than searching the spectrum for signals it already knows, the model detects the emissions present and then fingerprints each one against previously observed drone signatures. Where a match exists, the emitter is classified with full detail. Where it does not, RfAI-3 generates a signature for the unknown emission and presents it to the operator with a confidence assessment, ranked against the wider spectrum picture. Nothing is discarded for being unfamiliar, and every new signature the model generates becomes a reference for the next encounter.
Image: RfAI-3 senses unknown RF emissions within DroneSentry-C2 for operational context and rapid decision-making.
“The drone threat doesn’t wait for classification. RfAI-3 represents a fundamental shift in how we approach RF-based detection. We are no longer limited to seeing only what we already know. Wideband changes the calculus for our operators and for the adversaries trying to evade them,” said Angus Bean, Chief Executive Officer of DroneShield.
The RfAI Lineage
RfAI, initially developed in 2018, established the foundational RF detection architecture, delivering real-time classification of known drone emitters with precision that rule-based systems could not match.
RfAI-2, released in 2023, turned the RF intelligence dataset into a continuously expanding asset, with new drone models, protocols, and threat vectors identified through DroneShield’s ongoing acquisition and characterization program and distributed to the deployed fleet.
RfAI-3, unveiled today, builds on this robust foundation while breaking the paradigm. Wideband detection extends capability beyond the RF dataset entirely, surfacing drone emissions outside of any catalog. Combined with the continuously expanding RF intelligence dataset inherited from RfAI-2, the result is a detection capability that compounds over time while simultaneously operating beyond the boundaries of what it has previously encountered.
Intelligence That Compounds
A defining characteristic of the RfAI architecture, retained and accelerated in RfAI-3, is the continuously expanding RF intelligence dataset. DroneShield’s engineering teams maintain a rigorous program of emitter identification, classification, and integration, ensuring that known threat signatures are cataloged and distributed to the full deployed fleet.
This means the system’s performance against classified emitters compounds over time. An RfAI-3-powered deployment today will be more capable six months after commissioning than it is on day one, not because of a hardware upgrade, but because the intelligence it draws on continues to grow.
Delivery and Availability
RfAI-3 is specifically designed for DroneShield’s next-generation hardware platforms, with initial releases expected in the second half of calendar year 2026 and further releases through 2027. DroneShield’s existing product lineup continues to be supported under the company’s software subscription model, including ongoing delivery of expanded emitter coverage as the RF intelligence dataset grows.
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