“Consider drone technology. Military doctrine has shifted toward battlefield technology that relies upon armies of small, relatively cheap products enabled by sophisticated software—from drones above the battlefield to autonomous boats to CubeSats in space.
Drones have played a central role in the war in Ukraine. First-person viewer (FPV) drones—those controlled by a pilot on the ground via a video stream—are often strapped with explosives to act as precision kamikaze munitions and have been essential to Ukraine’s frontline defenses. While many foundational technologies for FPV drones were pioneered in the West, China now dominates the manufacturing of drone components and systems, which ultimately enables the country to have a significant influence on the outcome of the war.
When the history of the war in Ukraine is written, it will be taught as the first true “drone war.”
By Edlyn V. Levine, PhD & Fiona Murray
More on MIT Technology Reviewhttps://lnkd.in/eZVZpJiz
The recent inadvertent exposure of classified U.S. military plans by top defense and intelligence leaders serves as a stark reminder that even the most capable cybersecurity tools and well-defined policies can be rendered meaningless if ignored or misused.
In this case, senior leaders relied on the Signal messaging app to communicate sensitive data but unintentionally exposed critical information to unauthorized parties. The leaked details—time-sensitive plans for a military operation—could have not only placed personnel in greater danger but also undermined the mission by alerting adversaries to an imminent attack.
While #Signal is a widely respected, consumer-grade, end-to-end encrypted communication tool, it does not provide the same level of security as classified government systems. National security organizations typically utilize Sensitive Compartmented Information Facilities (SCIFs) to safeguard classified data from leaks and eavesdropping. However, SCIFs and other highly-secure methods are not as convenient as less secure alternatives—such as personal smartphones.
In this instance, Signal's encryption was not the issue; rather, the exposure occurred when an unauthorized individual was mistakenly added to the chat. This human error resulted in sensitive information being disclosed to a reporter.
Lessons Learned:
This incident highlights critical cybersecurity challenges that extend beyond the military and apply to organizations everywhere:
1. Human behavior can undermine even the most robust security technologies.
2. Convenience often conflicts with secure communication practices.
3. Untrained personnel—or those who disregard security protocols—pose a persistent risk.
4. Even with clear policies and secure tools, some individuals will attempt to bypass compliance.
5. When senior leaders ignore security policies, they set a dangerous precedent for the entire organization.
Best Practices for Organizations:
To mitigate these risks, organizations should adopt the following best practices:
1. Educate leaders on security risks, policies, and consequences, empowering them to lead by example.
2. Ensure policies align with the organization’s evolving risk tolerance.
3. Reduce compliance friction by making secure behaviors as convenient as possible.
4. Recognize that even the strongest tools can be compromised by user mistakes.
5. Anticipate that adversaries will exploit behavioral, process, and technical vulnerabilities—never underestimate their persistence to exploit an opportunity.
#Cybersecurity is only as strong as the people who enforce and follow it. Ignoring best practices or prioritizing convenience over security will inevitably lead to information exposures. Organizations must instill a culture of cybersecurity vigilance, starting at the top, to ensure sensitive information remains protected.
#Datasecurity#SCIF#infosec
🇺🇦 Innovation Under Fire
What’s happening off the coast of Ukraine should make every Western defence planner sit up.
Ukrainian naval drones didn’t just adapt to a threat, they actually changed the behaviour of the enemy.
Russian helicopters were once a critical counter to Ukraine’s maritime drones. They hunted them, disrupted them and controlled the battlespace.
So Ukraine did something deceptively simple and strategically profound. They armed the drones with surface-to-air missiles.
Result? Russian helicopters now avoid them entirely, recognising they’ve become easy targets.
The so what? This isn’t about a new platform. It’s about innovation velocity beating legacy doctrine.
Why this matters for future military strategy
👉 Drones are no longer disposable. These naval drones aren’t just ISR or kamikaze assets, they are multi-role, survivable, decision-shaping systems. Once a drone can credibly threaten manned aircraft, the cost-exchange ratio collapses in its favour.
👉 Behavioural deterrence beats attrition. Ukraine didn’t need to destroy every helicopter. It only needed to change Russian risk calculus. The real win wasn’t the kill, it was forcing the enemy to withdraw capability.
👉 Cross-domain convergence is the future. Sea platforms threatening air assets.
Small systems dictating big-platform behaviour. This is the erosion of traditional domain boundaries, and it’s accelerating.
👉 Speed outperforms scale. This wasn’t a decade-long procurement programme. It was rapid iteration at the tactical edge, driven by operators, not committees. The side that learns fastest now wins first.
👉 Western militaries should be uncomfortable. If low-cost drones can deny helicopters today, what denies,
• Amphibious landings tomorrow?
• Carrier air operations next?
• Littoral resupply routes in NATO theatres?
Ukraine is stress-testing the future of warfare in real time, while much of the West is still debating requirements documents.
This is innovation born of necessity, but it’s also a warning. The next military advantage won’t come from the biggest platforms or the longest programmes.
It will come from, Fast thinkers, Fast builders and Fast learners.
Those who ignore that lesson will find their helicopters and doctrines grounded.
As ever, this isn’t doctrine, It’s a debate,
and debate is how innovation starts.
https://lnkd.in/eDBSstQ6#Gwilly#DefenceInnovation#FutureWarfare#Drones#MilitaryStrategy#Ukraine#InnovationUnderFire
The rapid rise of combat drones illustrates a classic pattern described by Clayton Christensen. Drones represent a 𝐥𝐨𝐰-𝐞𝐧𝐝 𝐝𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐯𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: initially dismissed as inferior to established systems, yet capable of reshaping the entire competitive landscape.
For decades, the Western defense industry focused on increasingly sophisticated missiles, precision bombs, and air-defense systems. These technologies became extremely advanced—and extremely expensive. In that environment, small and relatively crude drones seemed strategically irrelevant.
Yet disruption often starts exactly there.
Take the Iranian Shahed drones now widely used in conflicts. They are cheap, simple, and can be produced in large numbers. Their real power lies not in individual performance but in scale and swarm tactics. When launched in large waves, they overwhelm traditional air-defense systems designed to intercept a limited number of high-value missiles. Using million-dollar interceptors against drones costing a few tens of thousands of dollars is economically unsustainable.
This is classic Christensen logic: incumbents optimize for high-end performance while the disruptive technology improves rapidly in a different dimension—in this case cost, scalability, and operational flexibility.
But the real lesson is not only technological.Ukraine has shown that the decisive capability lies in how drones are used: agile combat strategies, distributed command structures, and operators who can adapt in real time. Human intelligence, battlefield learning, and tactical creativity matter as much as the hardware itself. It all has to go together.
For Europe and the wider West, the implication is that defense strategies must shift from a narrow focus on expensive platforms toward learning systems that combine low-cost technology, rapid experimentation, and shared operational intelligence.
And this knowledge already exists: Ukraine today is probably the world’s most advanced laboratory for drone warfare. Western militaries should accelerate collaboration and learning from that experience.
The rise of low-cost drones and other low-end digitalized warfare technologies also forces a reconsideration of how military budgets are optimized. Rather than automatically increasing defense spending, the priority should be to reassess how military effectiveness can be maximized by reallocating resources—shifting a larger share of investment toward scalable, low-cost systems such as drones.
#DisruptiveInnovation#Drones#MilitaryInnovation#DefenseStrategy#Ukraine#Security#ClayChristensen#DroneWarfare
This year, India’s defense sector unveiled advancements in AI that are reshaping military strategies & boosting national security.
Here’s what the data tells us:
--> AI is now central to defense modernization.
--> Collaboration across sectors is driving innovation.
Let’s explore these in detail.
1️⃣ AI-Powered Technologies Transforming Defense
India’s armed forces are deploying AI across critical areas:
➤ Autonomy in operations: AI-enabled systems like swarm drones & autonomous intercept boats enhance mission precision, reduce human risk, & improve tactical outcomes.
➤ Intelligence, Surveillance, & Reconnaissance (ISR): AI-based motion detection & target identification systems provide real-time alerts for better situational awareness along borders.
➤ Advanced robotics: Silent Sentry, a 3D-printed AI rail-mounted robot, supports automated perimeter security & intrusion detection.
Example: Swarm drones use distributed AI algorithms for dynamic collision avoidance, target identification, & coordinated aerial maneuvers, providing versatility in both offensive & defensive tasks.
2️⃣ Collaboration as the Catalyst for Innovation
India’s AI advancements are the result of partnerships between the government, private industries, & research institutions.
➤ Indigenous solutions: 100% indigenously developed systems like the Sapper Scout UGV for mine detection.
➤ Startups and SMEs: Innovative contributions from tech firms and startups have fueled projects like AI-enabled predictive maintenance for naval ships and drones.
➤ Global export potential: Systems like Project Drone Feed Analysis and maritime anomaly detection tools are export-ready, positioning India as a major global defense tech player.
3️⃣ The Data-Driven Case for AI
➤ Efficiency: AI-driven systems exponentially improve surveillance coverage and reduce operational time. For example, the Drone Feed Analysis system decreases mission costs while expanding surveillance areas.
➤ Safety: Predictive AI systems in vehicles and maritime platforms enhance safety by identifying potential risks before failures occur.
➤ Economic impact: AI-powered predictive maintenance for critical assets like naval ships and aircraft maximizes uptime while minimizing costs.
Real Impact
➤ Swarm drones: Affordable, scalable, and capable of BVLOS operations, offering precision in combat.
➤ AI-enabled maritime systems: Detect anomalies in vessel traffic, securing trade routes and protecting economic interests.
➤ AI-driven mine detection: Enhances soldier safety while automating high-risk tasks.
What does this mean for defense organizations?
AI isn’t just modernizing defense; it’s placing it firmly in the global defense innovation market.
With bold policies, dedicated budgets, and a growing ecosystem of public and private sector players, this will help lead the next wave of AI-driven defense technologies.
But the question remains: How do we ensure these technologies are deployed ethically and responsibly?
Agree?
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."
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.
Rear Admiral U.S. Navy (Ret), National Security Expert, Naval Engineering and Technology Leader, Nuclear Systems Expert, Strategic Advisor, Leadership Coach, Speaker, Writer, Board Member
History was made yesterday, yet many overlooked the significant headline. Operation Epic Fury not only struck Iran but also marked the first combat deployment of LUCAS — the Low-cost Unmanned Combat Attack System. This $35,000 kamikaze drone was launched at scale alongside fighter aircraft and naval vessels. The concept of “small, agile, and many” is now a reality in warfare.
Consider this: LUCAS is reverse-engineered from Iran’s own Shahed-136, the same drone that has posed threats in the Red Sea and targeted our bases across the Middle East. We recognized the threat, adapted, and delivered a countermeasure at a fraction of the cost of a cruise missile.
This achievement is not mere luck. It results from leadership demanding speed, streamlined acquisition processes, and industry responsiveness. Task Force Scorpion Strike established this capability in mere months, setting a new model.
However, we must not declare victory based on a single data point. The true test lies in our industrial capacity, acquisition discipline, and strategic will to deploy thousands of these systems before the next conflict arises.
China is observing closely. They have analyzed Ukraine and the Red Sea, understanding the potential of a distributed, low-cost unmanned force against a military reliant on large, expensive, complex platforms.
The era of the $35,000 weapon has begun. The pressing question is whether we are building the necessary force to match this evolution or still engaged in debates over requirements. What insights does yesterday provide regarding the future direction of defense investment.
Ukraine has just redefined the meaning of combat effectiveness. The Armed Forces of Ukraine (AFU) have operationally implemented an e‑points system – an innovative mechanism for evaluating drone unit performance that is already reshaping modern warfare in real time. Each drone operator receives points for confirmed hits: 12 points for killing an enemy soldier, 6.4 points for destroying a TOR, Buk, or Pantsir system, 8 points for an S-300 or S-400 system, 40 points for a tank, 50 points for a Grad launcher. These points can be exchanged directly for battlefield assets – new FPV drones, Starlink terminals, ground control stations, FPV cameras, tactical gear – through the Brave1 platform. This is not about “kill scores” – it's a carefully designed, data-driven combat logistics model in which each team directly influences its own operational capabilities. The system requires full mission documentation – DVR footage, FPV recordings, GCS screen captures – eliminating randomness and reinforcing accountability.
Tactical priorities have shifted: the enemy's infantry, electronic warfare operators, and artillery observers are now primary targets. The number of precision strikes on enemy personnel in frontline trenches has increased by over 40% in areas covered by the new scoring procedures. Equipment rotation has dropped from days to just hours – efficiency now grants immediate access to reinforcements.
Russian forces are responding with improvised countermeasures: deeper trenches, overhead cover, thermal decoys, and “silent positions” with no movement or emissions. Their concern is growing, as Ukraine decentralizes its strike capabilities and shifts decision-making power directly to the operator level.
That said, the e‑points system brings critical risks:
– heightened pressure on operators
– potential for falsifying mission data
– resource inequality between units
– overreliance on the Brave1 digital infrastructure
– tension within traditional command structures
Still, this marks the first known case where real-time battlefield footage and hit confirmation are directly converted into logistical decisions. In this war, the operator is not just the trigger – they manage their own arsenal. The era of low-cost, high-precision warfare has begun. The only question is – who will keep up?