Adopting Software-Driven Military Technology

💡 From Steel to Software: How Weapons Have Become Code-Driven Modern missile systems are no longer defined primarily by propulsion or aerodynamics — but by code. What was once a mechanical or chemical challenge has evolved into a software-defined system, where autonomy, guidance, and decision-making are increasingly driven by embedded algorithms. A “self-controlled” missile today integrates several layers of computational intelligence: - Inertial Navigation and Kalman Filtering for sensor fusion and drift correction. - Computer Vision and Target Recognition using convolutional or transformer-based neural networks. - Adaptive Guidance Laws that use reinforcement learning or real-time optimization to adjust trajectories dynamically. - Mission Management Software that executes conditional logic — deciding, for example, when to re-target, abort, or engage under uncertain data. These systems blur the line between mechanical engineering and autonomous robotics — and between civil and military innovation. The same AI models that enable autonomous vehicles, satellite tracking, or industrial inspection can be repurposed for target identification and dynamic flight control. This is the essence of dual-use technology: innovations born in commercial domains that can rapidly migrate into military contexts through software transfer, not physical manufacturing. This shift transforms defense R&D itself. The critical advantage is no longer only in materials or payloads, but in algorithmic superiority — speed of adaptation, data integration, and software reliability under extreme conditions. As weapons systems become code-centric, the challenge for policymakers, engineers, and ethicists alike is ensuring responsible autonomy — where control, accountability, and safety are not lost in the abstraction of software. In the age of algorithmic warfare, the sharpest edge is no longer steel — it’s software. #Defence #Miltech #Defense #DefenseTechnology #AutonomousSystems #DualUse #AIinWarfare #GuidanceSystems #SoftwareDefinedWeapons #EthicalAI #InnovationSecurity

🚀 Europe’s Armed Forces Face a 15km 'Death Zone'—Startups Could Be the Key to Surviving It Europe’s militaries are confronting a new battlefield reality: a 15km "zone of total death" identified from the Ukrainian frontlines, where traditional logistics and manned operations have become lethal due to drones, electronic warfare, and precision strikes. At the recent UK-Ukraine Defence Tech Forum, General Valerii Zaluzhnyi put it bluntly: “Classical offensive operations are not just ineffective—they’re suicidal in these zones.” 👉 This challenge demands a radical rethink of logistics at the tactical edge. Troops cannot risk driving trucks into these zones. Instead, quiet, electric Unmanned Ground Vehicles (UGVs) must be deployed to ferry ammunition, supplies, and even evacuate the wounded—taking humans out of harm’s way. But here’s the breakthrough: AI-driven autonomy is making this possible. Startups like TENCORE are scaling rapidly to meet this need, delivering modular UGVs capable of: ✅ Autonomous navigation in GPS- and comms-denied environments using AI-powered perception and route planning ✅ Real-time adaptation to battlefield threats without direct operator control ✅ Modular mission-switching—from logistics to mine-laying to fire support—on a single platform These vehicles are engineered for extreme resilience and flexibility: battery swaps in under 10 seconds, lego-like repairability, and minimal human intervention. But let’s be clear: 👉 Hardware is now table stakes. It’s software that will win the wars of the future. The edge lies in the software layer: AI that can navigate and decide under electronic warfare and jamming Swarming algorithms that enable distributed, coordinated missions Autonomous decision-making at the tactical edge without waiting for command uplinks 🔥 The startup opportunity? Europe’s militaries urgently need: AI-first, software-defined autonomy platforms Interoperable software ecosystems across NATO forces Rapid software iteration matching the speed of battlefield adaptation In today’s wars, humans are the most expensive and vulnerable resource. AI-enabled autonomy isn’t just a buzzword—it’s the frontline’s survival mechanism. The future of defence will be fought in code, deployed on autonomous machines. 💬 If you’re building robotics, AI, autonomy platforms, or distributed software systems, this is your moment. Let’s connect: Europe’s defence ecosystem is ready for bold innovators. #DefenceInnovation #MilitaryLogistics #UGVs #AI #AutonomousSystems #SoftwareDefinedWarfare #StartupOpportunity #EuropeanSecurity #TechForDefence #Ukraine #KARISTA #PSION #NationalSecurity #Geopolitics #DualUseTech #OmniUse #DefenceTech #VentureCapital #Investing #TechCommandInvesting

Software-Defined Warfare: The New Winning Theme in Modern Defense The nature of warfare is undergoing a fundamental transformation. At the heart of this shift lies a powerful, disruptive concept: software-defined warfare. As kinetic capabilities reach saturation and traditional military platforms become increasingly interoperable, the real strategic advantage now lies in how fast and intelligently software can sense, decide, and act. Why software is now the key differentiator Modern battles are no longer won solely by firepower or fleet size. They are won by superior decision-making—at speed, at scale, and in complex, contested environments. Software-defined systems enable real-time data integration, autonomous decision support, dynamic mission reconfiguration, and secure, cross-domain orchestration. From resilient communications to AI-enabled threat detection, it’s the software layer that connects, accelerates, and amplifies force effectiveness. Agility over rigidity Software-defined architectures allow defense organizations to iterate, adapt, and deploy capabilities at a pace that rigid, hardware-centric programs simply can’t match. In an era of near-peer competition and unpredictable hybrid threats, agility isn’t a luxury—it’s a necessity. Nations that can reprogram their kill chains, retask their assets, and outcompute their adversaries will dominate the battlespace. The convergence of cloud, cyber, and command Cloud-native platforms, digital twins, zero-trust architectures, and continuous integration pipelines are no longer reserved for commercial tech giants. They are becoming the foundation of modern defense ecosystems. The convergence of cloud computing, cyber resilience, and C2 (command and control) agility is redefining how we structure forces, plan missions, and execute operations. A new strategic imperative Winning in the age of software-defined warfare requires more than adopting new tools. It demands a cultural shift—toward open architectures, rapid experimentation, and collaboration across public and private sectors. Defense organizations must treat software not as a support function, but as a strategic capability on par with air, land, sea, space, and cyber. The battle ahead will be won by code, cognition, and connectivity. Those who master software-defined warfare won’t just gain an edge—they’ll set the rules of the next era of conflict.

"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

12 March 2026: Here are the opening paragraphs of an article I co-authored with Isaac F., a very impressive American entrepreneur and software engineer who has spent the past four years helping the Ukrainian military build out its various software battle command platforms: "The era of autonomous warfare will not announce itself with robotic armies marching across battlefields. Instead, it is already emerging, quietly and inexorably, in the skies and fields of eastern Ukraine (and to a lesser degree in the Middle East), where missions are increasingly executed by machines at speeds no human can match and electronic warfare is severing the links between operators and their machines. Very soon, autonomous systems will no longer operate individually; over time, they will form platoon- or even battalion-sized units that share information and coordinate without human intervention. And the side that waits for human approval before acting will lose. This transition demands that militaries rethink not just the nature of command but the fundamental nature of war. The adaptation challenge goes beyond technological and industrial issues, although those aspects are enormously important. Already, Ukrainian engineers are rapidly developing software for autonomous navigation, and Ukrainian military technicians are now assembling first-person-view drones and other types in extraordinary numbers: some 3.5 million last year and a potential seven million this year, compared with 300,000 to 400,000 now assembled annually in the United States. The U.S. military will have to adapt much faster to manufacture drones in the enormous numbers required and to learn to employ autonomous systems effectively. But hardware and software will not be enough. It will be just as critical to develop new concepts and doctrine, adjust organizational structures, and institute the new kinds of military education and training that autonomous warfare will demand. These are all areas in which military institutions are often overly deliberate. But which militaries move first to change how they think about command and how the nature of war is evolving will determine which countries win the wars of the future." #autonomouswarfare #linkedintopvoices https://lnkd.in/em-m9s4j

"Many militaries are expanding the scope and speed of incorporating more complex data-driven techniques into the processes of determining courses of action, including when it comes to the use of force. These developments raise questions about the changing roles played by humans and machines, or human-machine interaction, in warfare. "This report contributes to ongoing debates on AI DSS by reviewing main developments and discussions surrounding these systems and their reported uses. It takes stock of what is known about AI DSS in military decision-making on the use of force, including in ongoing war zones around the globe. Section 2 provides a brief overview of the roles that AI DSS can play in use-of-force decision-making. Section 3 reviews main developments that we treat as indicative of trends in AI DSS in the military domain." "It focuses on three concrete empirical cases, namely the United States (US)’ Project Maven initiative, as well as systems reportedly used in the Russia-Ukraine war (2022-) and the Israel-Hamas war (2023-). Section 4 discusses opportunities and challenges associated with these developments, drawing inspiration from ongoing debates in the media and expert communities. The report concludes with some recommendations on potential ways forward to address the challenges discussed and with some questions raised by AI DSS that deserve further attention in the global debate on AI in the military domain." From Anna Nadibaidze Dr Ingvild Bode Qiaochu Zhang Center for War Studies, University of Southern Denmark

As Europe finds itself at a geopolitical crossroads, the ability to fend for itself both economically and militarily is becoming increasingly important. The topic for today's #sundAIreads is the role of #AI in #defense. The reading I chose for this is a recent report co-authored by Ludwig Biller, Danny Rienecker, Dr. Nils Förster, and Dr. Germar Schröder from Strategy& on "The global AI race and defense's new frontier." The report can be downloaded here: https://pwc.to/4hBghGo. In the report, the authors argue that AI has become "a defining pillar of modern military advancements that will revolutionize strategic decision-making, surveillance, autonomous systems, and logistics." More specifically, the authors identify the following six fields of application: 1️⃣ Autonomous systems, particularly "real-time situational awareness and rapid decision support;" 2️⃣ Weapon systems, including "AI-driven target recognition and precision;" 3️⃣ Cyber security and warfare, already in widespread use in anomaly detection; 4️⃣ Battlefield analysis and combat support, such as "AI-driven data fusion and target recognition;" 5️⃣ Infrastructure and logistics, such as "predictive maintenance, digital twins, and route optimization;" and 6️⃣ Admin and support functions, particularly in "finance, budgeting, and workforce optimization." The United States still "retain the pole position" in AI defense innovation "backed by enormous private and public investment," but rival powers such as China are catching up. Ukrainian and Israeli forces are also already actively leveraging AI-driven solutions, e.g., for intelligence gathering and precision targeting. Germany, by contrast, is still lagging behind due to "significant technological, structural, and cultural barriers," including: ❌ Strategic fragmentation, with "AI initiatives [...] scattered among different agencies and EU programs;" ❌ Infrastructure deficits, such as "insufficient data centers, underdeveloped cloud computing, and a lack of edge computing infrastructure;" ❌ Cultural resistance, particularly a historically rooted aversion to militarization and taking any conceivable kind of risk; and ❌ Regulatory barriers, including "complex procurement processes and stringent ethical guidelines." Massive increases in both defense and infrastructure spending in Germany could, however, change the game: Since the announcement of chancellor in spe Friedrich Merz to attempt to exempt military spending from the country's fiscal rules, the share prices of German defense firms have soared. Needless to say, the use of AI in defense raises numerous ethical questions the leaders of liberal-democratic countries no longer have the luxury to leave unaddressed. As a German and European, I can only share the authors' hope that Germany's "clear and longstanding commitment to ethical governance and multilateralism" could ultimately result in it becoming a "global leader in responsible AI defense innovation."

Autonomous & Unmanned Systems in Multi-Domain Operations: From Tools to Integrated Capabilities Autonomous and unmanned systems (UxS) are no longer “future concepts.” They are shaping today’s battlespaces, supporting civilian resilience, and redefining how we secure critical infrastructure. But their impact is not limited to hardware. For UxS to truly enhance Multi-Domain Operations (MDO), we must address people, processes, culture, and mindset: 🔹 Process – UxS change the tempo of operations. They demand modular, scalable digital backbones that enable secure interoperability and real-time integration across air, land, sea, cyber, and space. 🔹 People – Operators must move from system-by-system management to orchestrating missions across swarms, sensors, and data streams. Skills in autonomy, AI, and data fusion are just as critical as piloting. 🔹 Culture & Mindset – Delegation is central. Trusting autonomy means shifting from micromanagement to mission command supported by AI-enabled decision loops (OODA). Leaders must embrace this digital culture. 🔹 Ethics & Governance – UxS and AI must be reliable, secure, ethical, and human-centred. Adoption is not just about what technology can do, but what societies, militaries, and laws are prepared to accept. The role of UxS extends beyond defence: ⚡ Protecting critical infrastructure – ports, energy grids, undersea cables. ⚡ Enhancing disaster response – evacuation, search & rescue, logistics. ⚡ Strengthening national security resilience – ISR, EW, and hybrid threat countermeasures. What we’ve seen in Ukraine is clear: autonomy evolves weekly, not in decades. Yet our defence cycles are still built for long-lifecycle platforms. To close this gap, we need: ✅ End-to-end integration — not just standalone systems, but capabilities embedded into missions. ✅ Cross-domain sensor fusion and secure digital backbones to connect operators, commanders, and assets. ✅ Collaboration across nations, industry, academia, and end-users to accelerate adoption. At Solita, this is where we focus: connecting the dots from design and governance, to secure AI, to digital backbones and real-time mission integration. Our role is to make autonomy not just smarter but operational, trusted, and truly multi-domain. If information was once power, today sharing and acting on information is power. And autonomous systems when integrated correctly are the multiplier.

My Second Visit to Silicon Valley Three intense days on the U.S. West Coast visiting some newcomers in the defense and tech ecosystem and major tech firms. As a commander dedicated to preparing the Alliance’s future, here are the key insights I’d like to share: 🔹 Tech brings new ways to design capabilities. Better focused on the fighter’s operational needs, aligned with real field conditions, and compatible with existing industry skills and tools. Such processes reduce the timeline from concept to deployment by several years and reduce costs by an order of magnitude. Some companies are already ahead of any so-called military needs, anticipating capabilities they expect the armed forces will inevitably adopt in the coming years. 🔹 Command and Control integration is crucial to winning the robotics race. Putting one operator behind each robot is a flawed strategy. AI-driven C2 enables “assisted mission control” and supports swarm tactics. Armed forces must work hard to evolve from strictly “man-centric” organizations to hybrid structures where humans and robotic systems operate together at every stage of the OODA loop. 🔹 Data is central. Data to probe, understand, decide, order, act, assess. The supporting data infrastructure, including computing (core, edge, and far edge) and related connectivity, is essential. New technologies now enable solutions that were previously not feasible or affordable. As space assets begin offering Space-to-Device services, next-generation C2 systems will use an extended portfolio of solutions to be more resilient and provide better services. 🔹 Adaptation is a given constraint. Continuous improvement of tools and software is reshaping how armed forces and industry collaborate. The fighter’s experience (as the end user) is more central than ever. The depth and speed of interaction between fighters and engineers will increase significantly moving forward. #NATO #Innovation #New Tech #DeepTech #DefenseTech #AI #Space #DigitalTransformation #NATO_ACT