Ukraine develops Dronolaw active protection system for vehicle counter-drone defense
Bottom line
Ukraine is developing 'Dronolaw,' an active protection system designed to detect and counter aerial drone threats before they impact vehicles, specifically aimed at countering the growing threat of FPV drones.
Why it matters
The deployment of dedicated active protection systems like Dronolaw on armored vehicles could significantly reduce Ukrainian vehicle losses to FPV drones, enhancing survivability in high-intensity combat zones.
Pictures from the cited posts

photo Історія_Зброї (Istoria Zbroi)C 
photo Історія_Зброї (Istoria Zbroi)C 
screenshot Історія_Зброї (Istoria Zbroi)C
Evidence — 1 independent origin
Original text (excerpt)
🇺🇦 В Україні розробляють комплекс активного захисту Dronolaw для протидії безпілотникам. Проєкт, згаданий у матеріалі Militarnyi, присвячений посиленню захисту від дронових загроз. Активний захист такого типу має допомагати виявляти повітряні загрози та протидіяти їм до ураження
Related findings
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- Russian FPV operators engage artillery through smoke screens · 21 Oct 2026 · C3
- Russian Mil blogger reports on drone strike statistics · 21 Oct 2026 · C3
- Russian Molniya-2 drone operator navigates EW blackout to hit bunker · 21 Oct 2026 · C2
← Latest findings · All findings from October 2026
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). Ukraine develops Dronolaw active protection system for vehicle counter-drone defense. Hetzner OSINT, 22 October 2026. https://robotwar.io/osint-hetzner/2026-10-22--ukraine-develops-dronolaw-active-protection-system-for-vehicle-counter/
@misc{robotwar-2026-10-22--ukraine-develops-dronolaw-active-protection-system-for-vehicle-counter,
title = {Ukraine develops Dronolaw active protection system for vehicle counter-drone defense},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-22--ukraine-develops-dronolaw-active-protection-system-for-vehicle-counter/}},
year = {2026},
note = {Hetzner OSINT finding C3}
}Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-18.v7 · Corrections · JSON · RSS · API performance