Drone Defense Solutions

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  • View profile for Greg Knutson

    Aerospace & Autonomy Executive | BD · Corporate Dev · M&A · Operations | MIT Sloan MBA | Tillman Scholar

    12,854 followers

    The DoD just dropped its FY26 RDT&E budget—and it’s a $179B North Star for anyone building the future of national defense. Here’s what’s hot (and heavily funded): 🤖 Unmanned Systems & Physical AI – The budget is stacked with programs for launched effects, ground robotics, SUAS, TITAN, and AI-enabled C2. This is the golden hour for anyone working in cyber-physical systems, autonomous platforms, and real-world AI at the tactical edge. 🧠 AI/ML & Autonomy – From soldier lethality to ISR and C3I, embedded AI is showing up everywhere. Physical + digital fusion isn’t hype—it’s a requirement. 🚁 Future Vertical Lift & Next-Gen Combat Vehicles – Army and Navy are doubling down on transformational platforms, from long-range assault aircraft to hybrid-electric tracked systems. ⚔️ Hypersonics, Precision Fires & EW – Rapid, smart kill chains are in. Big money flows to hypersonic weapons, integrated fires, and resilient spectrum ops. 🧬 Biotech & Materials Science – Quietly accelerating: synthetic biology, survivability-enhancing materials, and warfighter performance R&D. Big implications for dual-use founders. 🛰️ Tactical Space & Multi-Domain Sensing – LEO, PNT, ISR nodes—space is tactical now, and the budget reflects it. 💻 Digital Pilots & Agile RDT&E – Software-defined everything. Over $1B in funding for digital pilot programs and agile prototyping. If you’re building fast, the DoD wants in. This isn’t just a spending plan—it’s a mission set for innovators. If you’re in unmanned systems, autonomy, biotech, robotics, or defense software… the signal is clear: let’s go. #DoDBudget #RDTandE #DefenseTech #UnmannedSystems #PhysicalAI #Robotics #Biotech #FutureVerticalLift #Hypersonics #DualUse #AgileRDTandE #ISR #GovTech #NationalSecurity

  • View profile for Christian Bruch
    Christian Bruch Christian Bruch is an Influencer

    President and CEO @Siemens Energy

    147,972 followers

    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.

  • View profile for Jordan Linn

    Autonomous Systems | Defense Tech

    30,313 followers

    UAVs are transforming the counter-battery kill chain. German Quantum Systems recently integrated acoustic sensors into their Twister, Vector and Reliant ISR drones. The system can record the sound signatures of 122mm and above artillery rounds at a distance of up to 15 km, with a localization accuracy of ±5°. Russian artillery crews are understandably panicking on Telegram. The sensor, weighing less than 50 g, was developed by Polish Weles Acoustics (acquired by Quantum in 2024). It operates in the range of 20 Hz - 10 kHz and is integrated with onboard neural networks to classify weapons by acoustic profile. While the prototype is undergoing field tests, serial production is scheduled for July 2025. The future concept would involve the acoustic sensor cueing the drone's onboard camera in the direction of the sound, in which its CV models would take over via target detection. In this case, the Vector UAV is currently using the Raptor gimbaled sensor, with an optical and thermal imaging channel, which has a zoom of 40x and 8x, respectively.

  • View profile for Oleg Vornik

    Investor/founder. Ex-CEO and first employee at DroneShield (ASX:DRO) | Artificial Intelligence | C-UxS | Asymmetric Threats | Electronic Warfare

    18,390 followers

    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

  • View profile for Hannes Fassold

    Wuff 🐕, founder "Fassold Seminare" (personal profile)

    43,696 followers

    "Unfortunately, most current counter-drone systems look like someone strapped $500,000 worth of sensors to a laser pointer and hoped for the best. Enter yet another tech marvel from Sweden: the Kreuger 100. A stripped-down, software-driven interceptor that’s less F-35 and more Ikea flat-pack missile. That’s not an insult. That’s the future. Launched by Nordic Air Defense (NAD), a Stockholm startup that clearly got tired of watching Europe buy defense tech from across the Atlantic, the Kreuger 100 was designed from the ground up to be cheap, scalable, and fast to deploy. What sets the Kreuger 100 apart isn’t just what’s inside but what’s missing. In the traditional world of air defense, interceptors come bloated with cost-heavy payloads: radar transceivers, laser rangefinders, gimbaled optics, complex gyroscopic stabilization, and propulsion systems that look like they were ripped from Cold War cruise missiles. The Kreuger 100 throws that model out the window and replaces it with a radical, minimalist architecture where the real brainpower lives not in hardware but in code. At the heart of this interceptor is a machine-learning-based flight control algorithm that adapts to environmental variables in real time: wind, angle of attack, target evasion maneuvers, and even thermal distortion caused by cluttered urban landscapes. Instead of reacting like a heat-seeking missile on rails, the Kreuger 100 behaves more like a predator drone with a nervous system. It doesn’t just follow, it predicts. It calculates an interception course based on probabilistic modeling of the drone’s behavior, a kind of anticipatory flight path generation that gives it a split-second edge in a knife fight in the sky. And unlike traditional systems locked into proprietary software ecosystems, the Kreuger 100 is designed to run on modular, updateable codebases. That means when a new drone threat emerges, say, a smaller, faster loitering munition or a decoy swarm, the Kreuger’s software can be updated without touching the hardware. In war, that adaptability is gold. Its infrared tracking system, while simple by Western standards, is fully integrated into this software layer. Rather than relying on heavy stabilization and high-end optics to isolate a heat signature, the Kreuger uses digital signal processing and software-based noise filtering to lock onto targets even with low contrast or amidst thermal clutter. It’s not the most powerful eye in the sky, but it’s smart enough to see through fog, rain, or smoke and still make the shot. [...] In short, the Kreuger 100 doesn’t match legacy interceptors feature-for-feature. It leapfrogs them by reducing complexity, cutting costs, and moving the brain from silicon to code. The result is a nimble, adaptable air defense solution that behaves more like a swarm AI than a missile." From https://archive.ph/pumek

  • View profile for Alex Lanin

    U.S. Energy Grid & AI Infrastructure | Independent Research & Investment Analysis | AI Grid Insider

    7,921 followers

    Three strikes. Three AWS data centers. Two availability zones down — the redundancy model AWS built to survive any single failure, gone in one attack. AWS confirmed it in their own health dashboard: attacks "disrupted power delivery to infrastructure." Not servers — power. A drone doesn't need to hit the building. The substation outside is enough. This isn't a war story. It's a structural vulnerability hiding in plain sight across the entire industry. 200+ data centers across the Middle East. Yemen, Iraq, Iran, the Red Sea — regions where drones are already a standard tool of pressure. Drones are getting cheaper. Data centers are getting more expensive. That asymmetry is only going to widen. The industry has no answer — because no one ever asked the question. Tier III/IV, BICSI, Uptime Institute, EN 50600. Not one standard contains the word "drone." They were written for a world where threats arrive on foot. The solutions exist — they're standard practice in military infrastructure: → Underground cable entries — you can't hit what you can't see → 3 independent power feeds from different directions — one strike doesn't take the site down → BESS — keeps the facility alive while power is restored → Hardened substations — reinforced concrete instead of an open yard → Anti-drone EW systems (Dedrone, Aaronia) — jam GPS guidance up to 3 km out. Cost: from $200K. Cost of two AZ downtime: orders of magnitude higher AWS was the first confirmed case. The precedent is set. Which data centers are next depends on who prepares first. Have you already seen drone defense requirements appear in data center RFPs or site specs? Photo credit: Wikimedia Commons (AWS us-west-2, Oregon) A typical hyperscale data center campus. Open substations, exposed power infrastructure, no standoff defense. In geopolitically stable regions — not a concern. In conflict zones — a potential single point of failure. #DataCenters #CriticalInfrastructure #PhysicalSecurity #EnergyResilience #AWS

  • View profile for Roman Sheremeta

    Professor, Behavioral Economist, Founder, Board Member

    116,063 followers

    Ukraine is opening a new chapter in the warfare of the future. Ukrainian forces have carried out their first aerial assault in which robots were delivered to the battlefield by drones. Heavy drones are now used not only to strike, but to carry ground robots close to russian positions. A drone lifts a robot into a dangerous zone, drops it, and the robot then moves on its own to carry out its combat mission. This solves a basic problem with ground robots. They are slow, they get stuck, and they are often destroyed long before they reach the target. Delivered by air, combat platforms arrive faster, reach farther, and no Ukrainian soldier has to drive them into fire. It appears to be the first known case of one drone delivering another robotic system directly into combat. The purpose is to save soldiers’ lives – and to make russia fight robots on the ground as well as drones in the sky.

  • View profile for DB Tingre

    Defence & Security | Military Capability, Procurement & Strategy | Defence Procurement I Government Engagement I Supporting Defence Startups, OEMs & Defence Enthusiasts I IDEX I India Defence Market I Strategic Analysis

    6,670 followers

    Decoys — Survival tools in an increasingly transparent battlefield One development that has not escaped the attention of the strategic community or analysts studying the Revolution in Military Affairs (RMA) is the renewed relevance of decoys, particularly inflatable decoys, in modern conflict. Their operational value became especially visible during the Russia–Ukraine War, where decoy systems reportedly drew a substantial share of precision-guided munitions. By compelling an adversary to expend high-cost weapons on low-value targets, decoys effectively create a cost-imposition dynamic—forcing the attacker into an unfavourable economic exchange. Recent developments associated with Iran have reinforced this trend even further, demonstrating how deception and signature management can complicate targeting cycles in sensor-dense battlespaces. Globally, several specialised firms have built capabilities in this niche. Companies such as INFLATECH Decoy Systems, i2k Defense, Talanov Defence , and Spearpoint Solutions & Technology have demonstrated how rapidly deployable inflatable platforms can replicate the visual, thermal, and radar signatures of high-value military assets—from air defence systems to artillery and armoured vehicles. Encouragingly, a small but growing cluster of companies within India’s defence industrial ecosystem is also beginning to explore this domain. Isolated firms such as Maan Defence are part of this emerging efforts for indigenous end to end solutions, developing indigenous decoy technologies aligned with the evolving operational requirements of the Indian armed forces. As surveillance networks expand—combining drones, satellites, electronic intelligence, and persistent ISR—the battlefield is becoming increasingly transparent. In such an environment, deception becomes a critical layer of defence. Well-designed decoy systems can disrupt the adversary’s sensor-to-shooter chain, degrade targeting confidence, and preserve high-value assets while imposing disproportionate costs on the attacker. In many ways, #decoys illustrate an enduring lesson of warfare: even in an era of advanced sensors and precision weapons, deception remains one of the most effective tools for #battlefield #survivability.

  • View profile for Ofer Shmueli

    Founder | Defense Beacon | Business Growth & Strategic Advisor| Competitive Intelligence Expert| Defense Industry Specialist. Visit our website. defensebeacon.tech 🌐

    4,181 followers

    NATO Innovation Challenge: Countering Fiber-Optic-Controlled FPV Drones 📢 NATO’s Allied Command Transformation (#ACT) has launched a Request for Innovative Participation (RFIP-ACT-SACT-25-48) focused on one of the most urgent battlefield threats: fiber-optic-controlled FPV drones. 🔍 Background Since late 2024, the Russian military has increasingly deployed fiber-tethered FPV drones—immune to jamming and boasting low radar/visual signatures. Traditional EW-based C-UAS solutions are ineffective. NATO seeks innovative, rapid-to-field countermeasures that can be integrated into frontline operations, with a key operational focus on supporting Ukrainian forces. ⚙️ System Characteristics Proposed solutions should ideally be: • Lightweight (≤100kg) • Mobile & modular (tripod or vehicle-mounted) • Power autonomous (battery/solar/generator) • Open architecture for C2 integration (STANAG preferred) • Cost-effective (€50K–€100K/unit for scale production) • Vehicle-mountable, operable on-the-move (40–50 km/h) • Include safety logic (arming/disarming, human-in-loop engagement) 🛠️ Technical & Operational Parameters Solutions should support one or more mission phases: • Detection: Drones as small as 300×300×100 mm, speeds up to 100 m/s, within 300–500m • Tracking: 360° azimuth x 80°+ elevation via hybrid sensors • Neutralization: Kinetic, directed energy (if feasible), or non-kinetic systems 📅 Timeline • Submission Deadline: 30 May 2025 • Pitch Day: 20 June 2025 (Tallinn / Online) • Prototyping Phase: July–October 2025 🏷️ Eligible Entities: Industry and academia headquartered in NATO member states 💡 Evaluation Criteria: Innovation, operational relevance for Ukraine, scalability, integration readiness, and cost-benefit ratio 📥 Submit your abstract via: https://lnkd.in/dZzvAywf This challenge is a non-procurement, discovery-phase initiative—but winning solutions may inform NATO capability development and future acquisition paths. #NATO #InnovationChallenge #CounterUAS #FPVdrone #DefenseTech #MilitaryInnovation #C4ISR #DirectedEnergy #SituationalAwareness #Ukraine, #EW

  • View profile for Kira Zhu

    Drone Defence Equipment | Counter-UAS Solutions

    1,798 followers

    Starlink-Enabled Drones: A New Challenge for Counter-UAS Recently, many customers asked me: “How can we defend against drones equipped with Starlink?” Starlink does not make drones invisible. It changes how they communicate. Traditional drones usually rely on local RF links such as: 2.4GHz / 5.8GHz control links Short-range communication Local operators Starlink-enabled drones introduce: Beyond-line-of-sight communication Real-time data transmission Remote mission updates Long-range operation capability However, satellite communication does not remove the drone’s physical characteristics. They still have: Flight signatures Thermal signatures Acoustic signatures RF characteristics Physical limitations For example, Starlink terminals require additional: Payload capacity Power consumption Installation space Clear sky visibility This makes them more suitable for medium-sized UAVs, fixed-wing platforms, and long-endurance systems. So how should we defend against Starlink-enabled drones? The future of C-UAS is not only about jamming. It is about threat understanding. A modern defense system requires: Radar → Where is the target? RF Detection → How does it communicate? EO/IR → What is the target? Acoustic Detection → Additional low-altitude awareness AI C2 → What is the right response? The future of Counter-UAS is moving from: Frequency Coverage → Threat Understanding No single technology can solve every drone threat. The next generation of C-UAS will rely on: Radar + RF + EO/IR + Acoustic + AI + C2 to build an adaptive low-altitude defense system. If you are evaluating drone detection or C-UAS solutions, welcome to discuss practical requirements. #CounterUAS #DroneDefense #Starlink #DroneDetection #LowAltitudeSecurity #DefenseTechnology #ElectronicWarfare #UnmannedSystems

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