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CapabilityD4likely · moderate confidenceRU · adversary

Rostec unveils Zhnets modular anti-drone EW system

Bottom line

Rostec's Rosel division developed 'Zhnets', a modular anti-drone electronic warfare system for critical infrastructure capable of detecting and suppressing single and swarm UAVs.

Why it matters

The deployment of modular, swarm-capable EW systems by Russia complicates Ukrainian long-range drone operations against critical infrastructure, necessitating advanced EW countermeasures or tactical adjustments for Ukrainian drone operators.

Rostec’s Rosel division has developed ‘Zhnets’, a modular electronic warfare system designed for the protection of critical infrastructure. The system integrates detection and suppression capabilities to counter both single UAVs and drone swarms. This development reflects Russia’s ongoing effort to harden key industrial and governmental sites against Ukrainian long-range drone strikes.

Evidence — 1 independent origin

  • Ростех (Rostec)source Dorigin t.me
    Original text (excerpt)

    📡 Ростех разработал «неустаревающий» антидроновый комплекс «ЖНЕЦ». Наш холдинг Росэл создал его для защиты предприятий ТЭК и критической инфраструктуры от одиночных и роевых атак БПЛА. Благодаря открытой модульной архитектуре комплекс быстро адаптируется к новым угрозам – достато

NamedRostecRoselZhnetsTopicselectronic warfaredronesmanufacturing

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Rostec unveils Zhnets modular anti-drone EW system. Hetzner OSINT, 11 September 2026. https://robotwar.io/osint-hetzner/2026-09-11--rostec-unveils-zhnets-modular-anti-drone-ew-system/

@misc{robotwar-2026-09-11--rostec-unveils-zhnets-modular-anti-drone-ew-system,
  title = {Rostec unveils Zhnets modular anti-drone EW system},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-11--rostec-unveils-zhnets-modular-anti-drone-ew-system/}},
  year = {2026},
  note = {Hetzner OSINT finding D4}
}

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 2026-10-15.v6 · Corrections · JSON · RSS · API performance