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CapabilityB3likely · moderate confidenceRU · adversary

Rostec presents 'Pauyna' modular drone protection system

Bottom line

Rostec's RT-Project Technologies presents 'Pauyna', a modular metal structure system to protect infrastructure from drones up to 200kg, developed with Standard Electric.

Why it matters

Indicates Russian efforts to develop passive, modular counter-drone infrastructure to protect critical assets from increasing drone threats.

Rostec’s RT-Project Technologies presents ‘Pauyna’, a modular metal structure system to protect infrastructure from drones up to 200kg, developed with Standard Electric.

Pictures from the cited posts

Evidence — 1 independent origin

  • Беспилотники (дроны, БПЛА, UAV)source Borigin t.mearchive
    Original text (excerpt)

    🚁 Ростех представил комплекс «Паутина» для защиты инфраструктуры от дронов Компания «РТ-Проектные технологии» (входит в Ростех) в ходе региональной миссии Госкорпорации в Тверской области впервые представила комплексную защиту инфраструктуры от беспилотных летательных аппаратов (

NamedRostecRT-Project TechnologiesStandard ElectricPauynaTopicsdroneselectronic warfaremanufacturing

Related findings

← Latest findings · All findings from October 2026

History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Rostec presents 'Pauyna' modular drone protection system. Hetzner OSINT, 15 October 2026. https://robotwar.io/osint-hetzner/2026-10-15--rostec-presents-pauyna-modular-drone-protection-system/

@misc{robotwar-2026-10-15--rostec-presents-pauyna-modular-drone-protection-system,
  title = {Rostec presents 'Pauyna' modular drone protection system},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-15--rostec-presents-pauyna-modular-drone-protection-system/}},
  year = {2026},
  note = {Hetzner OSINT finding B3}
}

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

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