Operational use case
Contested spectrum: read the electromagnetic fight, act under authority
The electromagnetic spectrum is crowded, contested, and invisible. Emitters appear and vanish, friendly and hostile signals overlap, and each receiver shows a slice of a picture no one holds whole.
In a contested spectrum, whoever holds the clearest picture of the electromagnetic environment moves first. DaggerOS™ senses the RF environment passively, fuses electronic-warfare, SIGINT, and direction-finding into one operator picture, and geolocates emitters — so an operator reads the fight and acts under authority. BlackEcho™ ranks and recommends; a human authorizes.
The problem
Modern operations happen inside a dense, contested spectrum. Emitters are transient, friendly and hostile signals overlap, and each sensor shows a fragment. Managing your own emissions while reading everyone else’s is a full-time job spread across separate systems.
How DaggerOS handles it
DaggerOS builds the RF picture passively first, so the environment is read before anything of ours emits. Detections are correlated across sensors, emitters are geolocated by direction-finding, and spectrum-management context shows where the fight is crowded. Every effect — including any active response — passes one Human Gate and is written to a tamper-evident record.
Domains in play
Electronic warfare and SIGINT carry the RF picture; direction-finding and geolocation locate emitters; spectrum management frames the crowding; SATCOM resilience protects the links that depend on it.
Evidence
The electronic-warfare, SIGINT, and direction-finding core was demonstrated under live, operationally representative, third-party conditions at T-REX 26-2 (May 2026) at TRL 7–8 — a fused, passive-first RF picture with emitters geolocated and held under one operator.
FAQ
Does DaggerOS jam or transmit on its own?
No. It reads the spectrum passively by default and recommends. Any active emission or response passes a human authorization gate, consistent with DoDD 3000.09.
How does it handle overlapping friendly and hostile signals?
Detections are correlated and geolocated so the picture separates emitters by location and behavior rather than presenting overlapping raw feeds.