Drone Defense Solutions

In the third part of my Understanding Energy Resilience series, I want to start with something many of you will have seen in the news: recent drone disruptions at major airports. Munich having to temporarily close its airspace. Oslo halting landings. Copenhagen pausing operations for hours. These incidents showed how quickly one small object can halt a critical service, create chaos and cost millions. Now take that thought to energy. If a drone over a runway makes headlines, a drone over energy infrastructure often doesn't. Yet the consequences can be just as real: disruptions to electricity supply, halted rail services and factories forced to stop production. Across Europe, operators are not allowed to neutralize hostile drones themselves – even when a threat is visible above critical infrastructure. Simply put: the rules have not caught up with reality. In my view, clarity and speed here are essential for public safety. Next to physical threats we also face digital ones. Every hour, around 35 million cyberattacks happen worldwide – almost 10,000 every second. Around 5% of them target energy companies and infrastructure. This is the world we operate in: attacks can appear out of nowhere and put entire systems to the test in real time. From my perspective, defending energy infrastructure comes down to a few key priorities: 1️⃣ Let protection happen: Regulation needs to enable energy operators to protect themselves. Clear rules must define who can intervene, when and how – including stopping a hostile drone. We cannot afford hesitation while minutes turn into outages. 2️⃣ Treat physical and digital as one: Fences, cameras and access control on the ground. Network separation and continuous monitoring in the control room. Physical and digital security must be treated as one because if someone can walk in, they can often plug in and disrupt the system. 3️⃣ Harden the infrastructure no one can afford to lose: The majority of physical and cyberattacks on energy systems target a small number of high-impact sites – such as substations, control rooms and interconnectors. Better detection and stronger barriers here make the difference between local disturbance and national outage. 4️⃣ Practice recovery, not just prevention: Real resilience is measured in how quickly power is restored. Simple restart plans, spare parts ready on site and regular drills with operators and authorities turn days in the dark into hours. 5️⃣ Stop naivety – talk openly about risk: We need public awareness without drama – which is one of the reasons I started this series. The more people understand that drones over critical sites are serious and that malware or phishing mails are no joke, the more support there will be for sensible protection. I believe this is the right balance: clear authority to act, practical protection on the ground and in the network with a constant focus on rapid recovery. In a more contested world, that is how energy systems stay open for business.

HOW UKRAINIAN EW ACTUALLY BEATS FPV — AND WHAT NATO SHOULD COPY Quick, practical view from Ukraine’s front—not theory, just what’s working right now. Most hostile FPVs are still radio-controlled. On typical sectors you see a split across three bands: roughly 400–490 MHz, 720–1020 MHz, and 2.1–2.3 GHz. Some hop mid-flight, run boosters, or coast a few seconds on partial autonomy after link loss. Coverage is geometric, not magical. Omni “domes” give ~200–300 m of local protection for a position or convoy halt. Directional sets reach kilometres if you can cue them fast enough. Units mix both: omni for the foxhole, directional for the approach routes. The kill chain is a pipeline. Detectors (RER/spectrum) throw bearings in seconds → mobile jammers swing beams onto the link → point defence or kinetic finishes the job if needed. When that hand-off is rehearsed, FPVs die far from trenches. Survivability is emission discipline plus movement. Russia hunts emitters (including with space-based SIGINT), then routes around or fires back. So EW teams work in short windows, rotate sites every few hours, and keep antennas/power kits truly mobile. Uptime matters more than max watts. Crews prioritise clean power, hot-swap batteries, quick mast rigs and simple control UIs. The metric that counts in practice: denied drones per kilometre of frontage per day—and the mean time to cue a jammer after detection. Big-picture, this isn’t about a clever box—it’s cadence. Refresh spectrum intel daily, retune bands quarterly, relocate often, and keep spares moving faster than the enemy adapts. NATO takeaway: treat EW like integrated air defence at the low layer. Organise in belts and batteries, not gadgets; standardise interfaces so detections and tasking flow across mixed fleets; buy modular short-range EW in industrial batches with planned upgrade cadence; stock band modules and antennas like ammo; measure coverage, cue times and availability as readiness metrics. The side that scales this discipline will own the air close to the ground. #ElectronicWarfare #DefenseTech #CUAS #NATO #Ukraine

𝐔𝐤𝐫𝐚𝐢𝐧𝐞’𝐬 𝐃𝐫𝐨𝐧𝐞 𝐖𝐚𝐫 𝐈𝐬 𝐅𝐨𝐫𝐜𝐢𝐧𝐠 𝐀 𝐍𝐞𝐰 𝐅𝐨𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝 🧱 Late January 2026 reporting highlighted a field-tested fortification “case” presented by the Ukrainian Association of Developers: an underground defensive system on the Kharkiv axis linking multiple protected positions through covered internal routes. This isn’t a PR story about “digging trenches.” It’s an engineering story about surviving under persistent drone surveillance and FPV strike pressure. 📌 𝐖𝐡𝐚𝐭 𝐰𝐚𝐬 𝐛𝐮𝐢𝐥𝐭 (𝐡𝐢𝐠𝐡-𝐥𝐞𝐯𝐞𝐥) ▪️ ~2 km of protected communication routes ▪️ 12 underground fortified structures ▪️ corrugated-steel underground shelters ▪️ focus on drainage / waterproofing / ventilation ▪️ internal connectivity designed for safer movement and longer endurance 🔍 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐭𝐡𝐢𝐬 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠 (𝐛𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐜𝐨𝐧𝐜𝐫𝐞𝐭𝐞) ⚠️ 1) 𝐓𝐡𝐞 “𝐬𝐩𝐞𝐜” 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 The reported starting point was a vague request from the field — essentially “X km of routes + Y underground structures.” That gap (need → specification) is exactly where projects fail at scale. 🧩 2) 𝐅𝐨𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐫𝐞 𝐧𝐨𝐰 𝐚 𝐬𝐲𝐬𝐭𝐞𝐦, 𝐧𝐨𝐭 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐨𝐛𝐣𝐞𝐜𝐭 In a drone-saturated battlespace, survivability depends on: ▪️ protected movement (not just “a strong point”) ▪️ concealment + endurance ▪️ minimizing exposure time above ground ▪️ internal routing that keeps units functional under constant observation 🛠️ 3) 𝐓𝐡𝐞 “𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐨𝐟𝐟𝐢𝐜𝐞” 𝐦𝐨𝐝𝐞𝐥 The association reportedly acted as a project office: ▪️ sourcing contractors ▪️ comparing commercial offers ▪️ optimizing costs ▪️ digitizing technical solutions with architects/engineers 📄 4) 𝐓𝐡𝐞 𝐫𝐞𝐚𝐥 𝐨𝐮𝐭𝐩𝐮𝐭: 𝐚 𝐫𝐞𝐮𝐬𝐚𝐛𝐥𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐩𝐚𝐜𝐤𝐚𝐠𝐞 Beyond the physical build, reporting notes a produced project document with plans + engineering calculations, and requirements for: ▪️ waterproofing / drainage ▪️ ventilation ▪️ concealment ▪️ autonomy (With tactical specifics not published publicly.) ✅ 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 𝐟𝐨𝐫 𝐚𝐧𝐲 𝐚𝐫𝐦𝐲 𝐰𝐚𝐭𝐜𝐡𝐢𝐧𝐠 𝐔𝐤𝐫𝐚𝐢𝐧𝐞 Because the “fortification lesson” of 2026 is not World War I nostalgia. It’s about engineering for: ▪️ continuous ISR overhead ▪️ rapid precision strike ▪️ short warning times ▪️ and the need to operate while being watched Drones didn’t eliminate fortifications. They changed the requirements. #Fortifications #DroneWarfare #MilitaryEngineering #Resilience #OperationalLessons #DefenseInnovation

What happens when a ₹5 lakh drone can force you to fire a ₹40 lakh missile? You have a problem. During Operation Sindoor, India faced a new kind of threat, not fighter jets, not tanks, but swarms of small, low-cost drones designed to slip past traditional defences. That's exactly the lesson modern warfare is teaching militaries around the world. The challenge wasn't just military. It was economic. How long can any country sustain a battle where cheap drones are met with expensive missile systems? That's where an Indian startup is trying to change the equation. Stravex Technologies has developed AgniStrike, a counter-drone system designed for one purpose: hunting drones with drones. Think about how warfare is changing. Instead of waiting for a missile battery to respond, an interceptor drone can be launched within seconds, track an incoming threat, and neutralize it before it reaches its target. The idea is simple. Fight a drone with a drone. Not a missile. Not a multi-crore air defense system. A drone. What's even more interesting is how Stravex is building it. Many drone manufacturers still rely on imported flight controllers and electronic components. Stravex has taken a different route by developing critical systems in-house, giving it greater control over performance, security, and supply chains. That matters because modern wars aren't fought only on battlefields. They're fought through technology stacks, software, chips, sensors, and manufacturing ecosystems. The company recently demonstrated AgniStrike before the Indian Army's 97 Artillery Regiment, showcasing how the system can detect, track, and intercept hostile drones in real time. But the bigger story isn't one demonstration. It's what it represents. For years, India focused on importing sophisticated defence systems. ✅ Let me share the #Rajspectives 1. Today, a new generation of startups is asking a different question: Why import solutions when we can build them ourselves? 2. The future battlefield may not be dominated by the biggest weapons. It may be dominated by the smartest and most affordable ones. 3. Because in modern warfare, winning isn't just about destroying the threat. It's about doing it at a cost that you can sustain. And that's where the next generation of defence innovation will be decided. #Defence #Technology #MakeInIndia #India #Innovation #Startup #Aerospace

Shahed-136 MS001: a digital predator we weren’t ready for. In June 2025, a Shahed-136 MS001 drone was shot down over Sumy region. At first glance, it seemed ordinary — but inside was a glimpse into the future of aerial warfare. This isn’t just a modernized model. It’s a technological leap: artificial intelligence, thermal vision, hardened navigation, real-time telemetry, and swarm logic. This is no longer a munition carrier — it’s an autonomous combat platform that sees, analyzes, decides, and strikes without external commands. Shahed MS001 doesn’t carry coordinates — it thinks. It identifies targets, selects the highest-value one, adjusts its trajectory, and adapts to changes — even in the face of GPS jamming or target maneuvers. This is not a loitering munition. It is a digital predator. Most air defense systems are not prepared for this. Mass deployment of drones like MS001 isn’t just a threat — it’s a challenge to our entire doctrine of air defense. What was found inside the MS001: • Nvidia Jetson Orin — machine learning, video processing, object recognition • Thermal imager — operates at night and in low visibility • Nasir GPS with CRPA antenna — spoof-resistant navigation • FPGA chips — onboard adaptive logic • Radio modem — for telemetry and swarm communication MS001 operates in coordinated drone groups: adjusting paths, bypassing air defenses, persisting even under electronic warfare and partial loss of swarm members. Russia is already field-testing tomorrow’s combat AI. While we hold procurement rounds, they’re integrating tech into a single adaptive system. MS001 proves that wars aren’t won by budget — they’re won by integration. Since early 2024, Russia has shifted its strikes away from the front line to deep in the rear — energy, logistics, civilian infrastructure. In this campaign, Shaheds are not just tools — they are strategic actors. We are not only fighting Russia. We are fighting inertia. And if we don’t break it now — the next generation of drones will break it for us.

Russian sappers have come across a new form of drone-delivered, anti-personnel fragmentation mine.   This is the ‘Skif’, which is designed to be dropped by UAV.   The casing is 3D-printed and it contains a plastic explosive main charge, with the fragmentation effect coming from 5 mm diameter ball bearings placed between the inner and outer shells.   Like so many of these drone-delivered mines, the Skif is fitted with a microcontroller (Jonik), which incorporates both a magnetic sensor and an accelerometer, so it will detonate when anything ferrous comes close or if it is moved. It incorporates a 10-minute arming delay after being dropped and will self-destruct in 60 days.   The use of the magnetic sensor, accelerometer and 10-minute arming delay is so widespread that is almost standard now. The self-destruct time of this kind of device seems to vary between 30, 60 and 90 days – depending on the factory where the Jonik was made.   These things are both cheap to produce and offer a level of sophistication that actors couldn’t hope to reproduce for a hundred times the price only a few years ago. To make matters worse, they can also be placed anywhere.   The combination of low-cost, high-sophistication and near ubiquitous deployment should be making every EOD operator and security professional shiver. Widespread proliferation and ease of 3D printing means that bad actors will be bringing them to a place near you very soon.   #ukrainewar #osint #EOD #Drones

In my recent presentation to DroneShield’s investors, I spoke about a shift that we are seeing evolve in real time. Drones have moved from the margins to the centre of global security concerns. Whether in conflict zones or civilian settings, drones are now a persistent and evolving threat.   We’ve seen this play out starkly in Ukraine, where drones have become a defining feature of warfare. The implications go beyond the battlefield. Across the world, drones disrupt airports, deliver contraband into prisons, conduct surveillance on infrastructure, and attempt cyber intrusions. These drone incidents aren’t isolated. They’re part of a broader trend that’s accelerating.   This new reality demands a different kind of response. Counterdrone systems must be proactive. They need to be deployed before threats appear, not after damage is done. They must be adaptable – evolve as drone tech itself evolves.   At DRO, we’ve built our approach around that principle. Our solutions are deployed globally, and we receive a constant stream of field intel. That data informs our engineering, refining detection and defeat capabilities in real time. AI plays a central role, helping us identify patterns and respond to new tactics.   We’ve also seen that the threat spans both military and civilian domains. That’s why we’ve developed solutions for a range of environments, from high-security military installations, to airports and stadiums. The goal is the same: to provide reliable, scalable protection against a threat that’s becoming more sophisticated by the day.   What’s often overlooked is how rapidly drone technology is evolving. The systems we’re seeing today are more autonomous, more evasive, and increasingly capable of operating in complex environments. That’s why we’ve moved away from static detection models and toward AI-enabled, software-defined systems that can be updated and adapted in the field. This is how DroneShield works to stay ahead of a moving target.   We’re also seeing a shift in how customers approach procurement. Many customers are moving from small-scale trials and compliance checks, to full-scale deployments. The urgency is being driven by real-world incidents and a growing recognition that traditional security measures are no longer sufficient. In some cases, government customers are sole-sourcing, rather than going through lengthy tender processes, especially military and homeland security customers, where revealing requirements can itself be a vulnerability.   What’s clear is that drones are here to stay. Their accessibility and versatility make them attractive to a wide range of actors, from state militaries to criminal networks. The ongoing challenge is that in this game of cat-and-mouse, technology keeps pace.   In my view, counter-drone technology is no longer a targeted niche: it’s a core component of modern security strategy. As the threat continues to evolve, so must our response.   https://lnkd.in/gbPC9QnR

Stop being delusional about the DRONE WALL. People picture a magic shield. Physics and logistics say otherwise. Start with scale. Ukraine, the world’s most experienced air-defence lab, still can’t guarantee a sealed sky along roughly 1,000 km of front. Europe’s “wall” fan club wants to stretch a similar layered setup over 4,000+ km. If the leader can’t fully lock 1,000 km in wartime, copying it four times over in peacetime bureaucracy is fantasy. Look at the layers everyone loves to post from United24: detection systems, electronic warfare, fighter jets, air-defence systems, interceptor drones, mobile fire groups. A wall means continuous coverage. Continuous means density. Density means money, people, and spares. Run the back-of-envelope. 1️⃣ Detection. Low-altitude drones ride terrain. To avoid gaps you’re placing short-range radars/EO posts every 15–20 km in at least two staggered lines. Even the optimistic math is 4000 ÷ 20 × 2 ≈ 400 sites. Realistic terrain pushes this well into the high hundreds. Each site needs power, comms, hardening, crews, and maintenance. Lose ten percent to weather or downtime and the “wall” leaks. 2️⃣ Electronic warfare. Tactical jammers cover roughly 10–30 km depending on power, terrain, and counter-countermeasures. To create overlap you’re buying and staffing hundreds more. EW is never “set and forget”; it burns generators, reveals locations, and degrades friendly comms if badly integrated. 3️⃣ Shooters. The cheap drone costs tens of thousands. The interceptor missile often costs hundreds of thousands. The only sustainable shooters are guns with programmable ammo and interceptor drones at scale. Now multiply ammunition burn rates by nights per year. OPEX eats CAPEX for breakfast. 4️⃣ Manpower. A “24/7 wall” means three shifts, training pipelines, retention, and rapid repair units. For every front-line operator you need planners, intel, logisticians, and technicians. 5️⃣ Geometry. Drones don’t respect lines on maps. They route around, come from the sea, pop up from inside your territory, or fly low through valleys. A line cannot protect airports, power plants, ports, datacentres, and rail hubs 200–800 km behind it. Meanwhile, reality check at home. Germany is scrambling on drone sightings and shutting airports. If we can’t police our own critical airspace reliably today, we’re not about to field a flawless 4,000-km wonder-system tomorrow. What works is boring and hard. ✅ Harden the targets. ✅ Disperse assets. ✅ Build layered point defence around critical nodes. ✅ Mass cheap interceptors and guns with smart ammo. ✅ Invest in domestic production so resupply survives a long war. ✅ Train local mobile fire groups that can move faster than bureaucracy. ✅ Tie it together with a kill-chain that fuses data in seconds, not meetings. #DefenceInnovation #AirDefense #TechnoIndustrial #Europe #MilitaryStrategy #Ukraine #Security #RealityCheck

A Ukrainian operator compared it to a video game: set the waypoints, pick the targets, and let it run. He was talking about a drone mothership that flies 300 kilometers, drops two AI-guided FPVs, and returns home—no comms, GPS, or pilot. According to Strategy Force Solutions, they’ve already used the system in live trials against Russian targets. It’s unconfirmed, but credible. And it’s exactly the kind of autonomy the defense world has been theorizing for years. What’s striking isn’t the drone itself, it’s the software stack behind it. A LIDAR-based autonomy suite originally built for civilian infrastructure inspection, now retooled for war. The drone sees, navigates, and strikes the way a human would, but faster, with fewer constraints, and no need for a remote operator. This capability has grown essential as the battlefield has evolved. Jamming and electronic warfare have made the skies above Ukraine chaotic for traditionally-controlled drones, but the country's military has adapted in two distinct ways: looking backward to fiber-optics, and forward to edge-deployed autonomy. The latter unlocks resilience—drones that don’t need to phone home, that can make decisions on their own, and complete missions even in contested, comms-denied environments. If it works, it’s not just another edge case. It’s a glimpse at where this is all heading: kill chains designed around AI-first logic, not human workflows. And the most important part? It’s already flying. Built under siege. Fielded at scale. We keep asking what autonomy can augment. But we’re past that. The better question now: what happens when autonomy is the force?

"Ukrainian forces reportedly used a new AI-powered “mother drone” for the first time on the frontlines in late May. A Ukrainian startup first reported on May 26 that its GOGOL-M AI-powered mothership drone carried out its first autonomous missions during a trial against Russian targets.[38] The startup noted that the GOGOL-M mothership can deliver two FPV attack drones and launch a precision strike at a range of 300 kilometers. Fedorov announced on May 29 that Ukraine’s defense platform Brave1 created and battlefield-tested a new mothership drone that can autonomously identify, find, and strike targets with two FPV drones at a distance of up to 300 kilometers, including striking Russian aircraft, air defense systems, and critical infrastructure.[39] Fedorov stated that the mothership can return for additional usage if it operates at a distance of up to 100 kilometers and that the drone uses the “SmartPilot” system and cameras for visual-inertial navigation. The full effectiveness and autonomy of Russian and Ukrainian AI-powered mothership drones are unclear right now, given that both systems are currently undergoing battlefield testing" "Promises of an immediate AI/ML drone revolution are premature as of June 2025, given that both Russian and Ukrainian forces will need to allocate more time, testing, and investment to deploy these drones on the frontlines en masse. Russia and Ukraine will continue improving their ML and machine vision capabilities while training and testing AI capabilities. Russia and Ukraine will then need to tackle the issue of scaling the production of the new AI/ML drones that will require additional time and resources to facilitate. Russia and Ukraine may start to use some AI/ML drones to carry out specific tasks in the meantime, such as striking certain types of targets like armored equipment or aircraft, before learning to fully operate on the battlefield. AI/ML drones are also unlikely to fully replace the need for the mass of tactical FPV drones over the coming months because the latter are cheaper to produce and adapt to the current battlefield conditions at the current state of technology." By Kateryna StepanenkoI at the Institute for the Study of War