OSINT Trends Shaping Military Innovation

🇨🇳 👀 🤖 - New Recorded Future Insikt Group report! This is an incredible piece from Zoe Haver and our Global Issues (GLOBIS) team. This research details how the People’s Liberation Army is rapidly experimenting with generative AI to augment — and potentially transform — its military intelligence capabilities. The implications span national security, information integrity, and geopolitical risk. Please read and share with your networks! The PLA and China’s defense industry have very likely leveraged both foreign and domestic large language models to create intelligence tools that process and generate OSINT products, extract and fuse multi-source intelligence, and even produce battlefield decision support. 🔑 Notably, several patents suggest efforts to fine-tune military-specific LLMs based on platforms like Meta’s LLaMA, OpenAI’s GPT, DeepSeek, and Tsinghua University’s ChatGLM. What sets this development apart is not just the ambition, but the institutional backing. 🚨 Chinese defense contractors like DataExa and TRS are integrating generative AI into intelligence platforms already in use by the PLA. These tools reportedly offer scenario generation, strategic simulation, and real-time OSINT monitoring. Procurement records indicate rapid adoption, especially of DeepSeek’s models, since early 2025. Three core risks emerge for the global community. 🕵️ Counterintelligence and deception: PLA analysts are concerned about generative AI being used by foreign adversaries to produce deepfakes or misleading data. Yet China’s own intelligence services are almost certainly developing similar capabilities, with potential to disrupt open-source environments with convincing disinformation. 🛰️ AI-powered surveillance and targeting: By integrating multimodal intelligence (e.g., satellite imagery, online chatter, technical specs) into LLMs, the PLA is moving toward scalable, semi-autonomous intelligence cycles. This could compress targeting timelines and expand surveillance reach. ⚖️ Ideological filtering and analytical distortion: PLA researchers acknowledge the risk that LLMs trained on CCP-aligned content or restricted data sets could inject systemic bias into intelligence outputs — degrading objectivity and operational judgment. The convergence of generative AI and state-run military intelligence is no longer speculative. As China refines these capabilities, other states will need to address dual-use technology transfer, develop more resilient OSINT ecosystems, and invest in counter-deception and AI validation frameworks. This is not just a race to adopt generative AI — it’s a race to understand its risks, limitations, and how adversaries may weaponize it at scale. Blog: https://lnkd.in/gQk2MWSx PDF: https://lnkd.in/gn46-EDP

GenAI in the intelligence war room. While the world focuses on productivity in business, intelligence services are experimenting with wiring GenAI into the machinery of state power. This is about Automated Intelligence (AUTOINT): fusing OSINT, SIGINT, satellite imagery, trade filings, and AIS shipping data into near-real-time strategic analysis. Think “CIA analysts in a data center,” but automated, agentic, and relentless. Systems that don’t sleep, don’t blink, and scale across every feed the planet emits. OSINT volumes already dwarf human capacity. This paper argues that multimodal LLMs + agents able to retrieve, reason, and delegate across tools can close that gap, and will become a core determinant of geopolitical advantage. The bottleneck isn’t training new models. It’s inference at scale, with live access to data and tools. Is this real now? In fragments, yes. - The U.S. Army’s 2024–28 OSINT strategy calls for GenAI integration. - China’s PLA has filed patents for fused LLM intelligence systems. - Israel’s Unit 8200 is reportedly running custom ChatGPT-style models on live intercepts. - Project Maven began with imagery analysis; now agentic models add reasoning and synthesis. And commercial firms are in the loop: - Palantir is fusing OSINT and sensor streams in Ukraine. - Anduril builds autonomous systems and real-time sensor fusion. - Helsing develops AI battle management software in Europe. - Anthropic, Google, OpenAI, xAI all hold DoD contracts for frontier models. - Classic contractors like BAE Systems, Booz Allen, SAIC are embedding LLMs into analytic pipelines. The AUTOINT study itself found that novices, given LLMs, produced analysis measurably closer to expert judgments. GenAI raises the floor, narrowing the gap between novice and expert. But asymmetry is the wildcard. Smaller nations, and even non-state actors, could leverage OSINT plus commercial AI agents to gain capabilities once reserved for superpowers. A handful of officers with GenAI tools and commercial satellites can now track ships, sanctions evasion, or troop movements at scale. And if this tech spreads through open-source releases or rogue access, risks escalate: terrorists, criminals, cartels, or authoritarian regimes running AUTOINT-like pipelines on open data, producing targeting dossiers or disinformation campaigns with machine efficiency. Weaknesses remain: - Fragility to poisoning, spoofing, and adversarial inputs. - Opaque provenance and confidence scoring. - Strategic dependence on foreign compute and providers. - Centralisation: a single compromised pipeline could cascade into national-level failure. - Escalation pressure as more actors join the race. The upshot is GenAI isn’t just a business productivity tool. It’s becoming a geostrategic capability for intelligence agencies. The war over model training may fade; the contest over data access, agents, and resilient inference infrastructure has just begun.

I just finished reviewing the new National Security Strategy released yesterday! I’ve identified the priorities that stand out to me, with a look at how #OSINT can contribute to each one: 𝟭. 𝗕𝗼𝗿𝗱𝗲𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗿𝗶𝗺𝗲 𝗮𝗿𝗲 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝗰𝗼𝗻𝗰𝗲𝗿𝗻𝘀. The NSS connects border control with counterterrorism, counterespionage, narcotics flows, and human trafficking. OSINT supports this with visibility into smuggling routes, cartel logistics, precursor chemistry sourcing, and transportation patterns that move across public and commercial data. 𝟮. 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗶𝘀 𝗱𝗲𝘀𝗰𝗿𝗶𝗯𝗲𝗱 𝗮𝘀 𝗮 𝗰𝗼𝗿𝗲 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗼𝗳 𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗽𝗼𝘄𝗲𝗿. Reindustrialization, critical minerals, foreign ownership of strategic assets, and adversarial economic practices are highlighted. OSINT helps track supply chain shifts, technology acquisition, industrial relationships, and patterns of foreign investment that reveal strategic positioning. 𝟯. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗳𝗿𝗮𝗺𝗲𝗱 𝗮𝘀 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰, 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹, 𝗮𝗻𝗱 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻𝗮𝗹. The NSS focuses on technology competition, trade leverage, fentanyl precursors, and influence activity. These areas produce extensive open-source signals across infrastructure projects, cyber ecosystems, financing activity, and narrative dissemination. 𝟰. 𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗱 𝗮𝘀 𝗮𝗻 𝗼𝗻𝗴𝗼𝗶𝗻𝗴 𝘁𝗵𝗿𝗲𝗮𝘁. Monitoring how messaging spreads across platforms and how foreign actors target audiences requires continuous open-source observation. OSINT can provide indicators that show coordination, amplification, and targeting. 𝟱. 𝗥𝗲𝗴𝗶𝗼𝗻𝗮𝗹 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 𝗰𝗮𝗹𝗹 𝗳𝗼𝗿 𝗮𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗼𝗳 𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹, 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰, 𝗮𝗻𝗱 𝗺𝗶𝗹𝗶𝘁𝗮𝗿𝘆 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀. The Strategy emphasizes the Western Hemisphere, the Indo Pacific, Europe, the Middle East, and Africa. OSINT provides insight into port acquisitions, troop presence, political movements, resource development, maritime activity, and infrastructure competition. Overall, the new NSS describes a security environment where state behavior, economic activity, technology development, and information movement shape national power. OSINT can support this strategy in so many ways- it’s an exciting time for the field! For the academics out there, the new strategy has a very realist vibe. I’m seeing comparisons to the Monroe Doctrine in the media, and I’m curious to see more academic analyses of this new strategy compare to past ones- if I have time I’ll dig into that! #OSINT #IntelligenceAnalysis #NationalSecurity #Investigations #Geopolitics #Realism

𝗡𝗖𝗜𝗔 𝗥𝗙𝗜: 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 — a quiet NATO signal (29 Jan 2026) 🧭 𝗥𝗙𝗜𝘀 𝗮𝗿𝗲𝗻’𝘁 𝗽𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗻𝗲𝘄𝘀 — 𝘁𝗵𝗲𝘆’𝗿𝗲 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗿𝗲𝗰𝗼𝗻. And NCIA’s latest RFI is a clean indicator of where the “information workload” is heading for #NATO. 📌 𝗪𝗵𝗮𝘁 𝗶𝘁’𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗮𝗯𝗼𝘂𝘁 NCIA is exploring scalable capabilities to 𝗰𝗼𝗹𝗹𝗲𝗰𝘁, 𝗽𝗿𝗼𝗰𝗲𝘀𝘀, 𝗮𝗻𝗱 𝗲𝘅𝗽𝗹𝗼𝗶𝘁 open-source information to support its OSINT community — market research now, potential acquisition later. #OSINT 🧩 𝗧𝗵𝗲 𝗴𝗮𝗺𝗲 𝗵𝗮𝘀 𝘀𝗵𝗶𝗳𝘁𝗲𝗱: 𝗢𝗦𝗜𝗡𝗧 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 “𝗯𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱” OSINT has become a tempo layer in crisis response: • 𝗩𝗼𝗹𝘂𝗺𝗲 explodes (video, social, commercial data, subscriptions, archives) • 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 becomes the bottleneck (provenance, manipulation, synthetic content) • 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻 matters more than collection (workflow, tasking, reproducibility) #DefenseTech ⚙️ 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁: 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 𝗲𝗿𝗴𝗼𝗻𝗼𝗺𝗶𝗰𝘀 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 The decisive advantage isn’t “more data”. It’s reducing the friction between: • discovery → triage → enrichment → assessment → dissemination …while preserving audit trails and source integrity. #AIinWarfare 🔒 𝗧𝗵𝗲 𝗰𝗹𝘂𝗲 𝗶𝗻 𝗽𝗹𝗮𝗶𝗻 𝘀𝗶𝗴𝗵𝘁 When NCIA probes OSINT processing, it’s implicitly acknowledging that hybrid pressure campaigns don’t just target politics — they target decision cycles, credibility, and alliance cohesion. #HybridWarfare 𝘐𝘯 𝘢 𝘸𝘰𝘳𝘭𝘥 𝘰𝘧 𝘪𝘯𝘧𝘪𝘯𝘪𝘵𝘦 𝘴𝘪𝘨𝘯𝘢𝘭𝘴, 𝘵𝘩𝘦 𝘦𝘥𝘨𝘦 𝘨𝘰𝘦𝘴 𝘵𝘰 𝘵𝘩𝘦 𝘴𝘪𝘥𝘦 𝘵𝘩𝘢𝘵 𝘤𝘢𝘯 𝘷𝘦𝘳𝘪𝘧𝘺 𝘧𝘢𝘴𝘵 — 𝘢𝘯𝘥 𝘴𝘵𝘪𝘭𝘭 𝘤𝘰𝘰𝘳𝘥𝘪𝘯𝘢𝘵𝘦 𝘧𝘢𝘴𝘵𝘦𝘳.

Over the past months, Sensity has been closely tracking the use of generative AI in active conflict zones, particularly as a tool within the broader framework of information warfare. Military-focused OSINT networks and Telegram channels managed by soldiers and military bloggers have become increasingly saturated with AI-manipulated content. Among the most common tactics: - Face-swapped or lip-synced videos of top politicians and military officials - AI-generated images faking casualties or destruction - Lip-synced civilians delivering anti-government messages - Face-swapped soldiers criticizing their own command - Voice-cloned officials issuing fabricated orders More recently, image generation models have improved to the point that high-resolution satellite imagery and drone footage can also be convincingly altered at scale. This introduces a new layer of complexity for military and intelligence analysts, who now face the challenge of verifying the authenticity of thousands of visual assets each day, any of which could have been generated or manipulated through a simple API call without any human involvement or use of traditional editing tools like Photoshop. #osint #generativeai #deepfakes #defensetech

An excellent article out of the US from the Irregular Warfare Initiative on the OSINT revolution and its structural rather than temporary transformation of the global intelligence landscape. It states that the foundation of intelligence democratisation rests on three converging developments: technological accessibility, methodological transparency, and analytical tool democratization. Several key points stood out for me: 1.0 OSINT Teams can generate 70–90 percent of the analytic value of classified collection while operating at roughly two percent of the cost of a comparable government program. 2.0 A private sector networked or Community model (such as Valinor Intelligence) —where capabilities emerge from connectivity and collaboration rather than centralization—creates organisational resilience and analytical depth exceeding what similarly resourced traditional organizations could achieve. 3.0 When OSINT is fused with classified intelligence, the result is a more comprehensive understanding than either approach alone, particularly when addressing complex transnational challenges. Here in the UK, implications of the OSINT revolution for the Intelligence Community, UK Ministry of Defence, Foreign, Commonwealth and Development Office, and the UK Home Office are significant. They no longer have a monopoly on information. Adversaries and Non-state actors can track their actions and exploit their vulnerabilities in ways previously unimaginable. As the author states, “every staff member must be trained to validate OSINT at speed….In a battlespace where anyone can see, verify, and broadcast, advantage belongs to forces that turn radical transparency into faster, sharper decisions….” #ValinorIntelligence #OSINT #OpenSourceIntelligence #CommunityDriven #Innovation #Geopolitics #TheIntelligenceCommunity https://lnkd.in/euj2wG64

In 1940, Britain built radar networks. Germany dismissed them as unimportant. By the time Germany realized radar was strategic, the war's trajectory was already decided. Eighty-five years later, open-source intelligence is the new radar. China mobilized 100 entities to supply OSINT to its defense apparatus. The United States just announced complete restructuring of its $100 billion intelligence community around OSINT as the "primary, foundational source." The US is rebuilding. They need partners who contribute capability, not just customers who consume it. The choice for Europe: join as a partner while the window is open, or become a customer buying access on terms others set. By 2027, major systems will be operational and standards will be set. Europe can contribute specialized OSINT capabilities, built to NATO standards. Article 4 in my series on AI and Europe's strategic position.  #OSINT #Intelligence #AI #StrategicAutonomy

According to the latest privileged information acquired through in-depth industry analysis and targeted consultation of recent open sources (OSINT), the current state of China's low observability (stealth) program represents the most serious and complex challenge to traditional concepts of electronic warfare and aerial maneuverability. China is systematically constructing a cohesive, dynamic warfare architecture designed to establish omni-directional stealth supremacy across the air, space, and electronic warfare domains. This massive, state-funded effort integrates cutting-edge nanotechnology, fluidic control, and AI-driven tactics. The program focuses on eliminating the historical compromises of stealth. This involves using reconfigurable metasurfaces that actively control electromagnetic waves, eliminating the need for passive, fixed radar absorbing materials. Simultaneously, researchers are mastering thermal camouflage through multilayer film supports, allowing platforms to continuously tune their surface emissivity (documented range of 0.356 to 0.96) to perfectly match the background temperature and defeat thermal sensors. This capacity is crucial for multi-spectral camouflage. For aerial platforms like tailless flying wings (UCAVs), maneuverability without compromising stealth is achieved through Fluidic Flight Control Systems (FFCS). This technology uses engine bleed air to generate "virtual rudders," avoiding the shape-altering deflection of mechanical control surfaces, thus preserving the aircraft's stealth contour during maneuvers The control system is powerful enough to provide greater moment increments than traditional rudders deflected by ±30°. The Chinese strategy also extends to systems-level optimization and tactical deception. AI-driven techniques like Multi-Fidelity (MF) Assessment and Bayesian Optimization (BO) accelerate design cycles by reducing complex simulation time by over 60%. This is applied to critical components like the Double Serpentine Nozzle, resulting in stealth improvements up to 40.25% for UCAV RCS. Finally, in the spatial domain, China is developing new interception tactics using Motion Camouflage. This strategy, solved via Differential Game Theory and the State-Dependent Riccati Equation, allows a pursuit spacecraft to approach a target while its relative motion remains visually concealed against a background reference, ensuring robust, furtive anti-satellite and reconnaissance capabilities. This comprehensive program establishes China as a major force driving the next generation of stealth warfare. Our OSINT analysis: https://lnkd.in/dgFskrfv #ChinaStealthTech #Metasurfaces #FluidicControl #UCAV #StealthSupremacy #IRCamouflage #ActiveStealth #MotionCamouflage #ElectronicWarfare #AerospaceInnovation #ChineseMilitary #AIinDefense #NextGenStealth #HypersonicTech #RCSreduction #SpaceWarfare #DefenseResearch