Two founders and a claim about Ukraine. That's how Arlo Industries introduced itself to the defense community in 2026, another Y Combinator cohort member pitching a solution to a problem most Americans didn't know existed until drones started appearing over New Jersey suburbs and shutting down airports.
Deo Arlo's pitch is straightforward, if audacious: forget the towering radar installations that have anchored air defense for seventy years. The future, he argues, belongs to networks of cheap, silent sensors scattered across rooftops and hilltops, tracking threats by listening rather than shouting into the sky. No emissions. No signatures. Just a mesh of passive nodes triangulating targets that conventional radar might miss entirely.
It sounds like the sort of thing venture capitalists hear every week in the drone detection space—a market that, depending on which analyst you ask, will balloon from somewhere between $5 billion and $7 billion this year to anywhere from $20 billion to $28 billion by decade's end. MarkNtel Advisors, in their latest forecast, pegs 2032 revenue at $27.98 billion. Drone Intelligence sees $20.3 billion by 2030. The projections vary. The trajectory doesn't.
Whether Arlo Industries proves to be visionary or vaporware, the company's existence signals something more interesting than another startup chasing defense dollars. The entire counter-drone industry is in the middle of a conceptual shift, moving away from centralized, high-power radar systems toward distributed architectures that blend passive sensors, acoustic arrays, and software that fuses it all into a coherent picture. Ukraine didn't invent this approach, but the war there has accelerated the operational deployment of these technologies, with innovations like acoustic detection grids demonstrating practical effectiveness in contested environments.
When the Old Playbook Stops Working
The traditional air defense model makes a certain kind of sense. Plant a radar, scan the sky, hand off tracks to command centers. It worked for bombers. It works, mostly, for aircraft. But drones—small, cheap, increasingly autonomous drones—break the economics and the physics.
Active radar announces itself. In contested airspace, that's an invitation for anti-radiation missiles. The systems struggle with clutter, particularly in cities where buildings create radar shadows and false returns. A single installation can cover only so much ground, and low-altitude threats routinely slip below the horizon. Perhaps most frustratingly, high-end radar costs real money, which limits how many nodes an operator can afford to deploy.
Passive sensing reverses the logic. Instead of broadcasting energy and waiting for reflections, these systems listen for signals the drone itself emits—control links, video downlinks, telemetry. Some implementations exploit ambient electromagnetic radiation from TV towers, cellular networks, even low-earth-orbit satellite constellations, treating them as free illuminators for what's known in the trade as passive coherent location.
The geometry improves with scale. Deploy enough nodes and triangulation becomes accurate enough to hand off coordinates to an interceptor or jammer. Lose one sensor and the network compensates, a resilience advantage that the Center for Strategic and International Studies highlighted in a July 2025 analysis modeling passive, proliferated ground sensors for air and missile defense. The Army's Long-Range Persistent Surveillance program, budgeted at $31 million in fiscal 2025, reflected the Pentagon's growing interest in the concept.
Ukraine's battlefield has become the world's largest counter-drone laboratory, and acoustic detection represents one of the more surprising innovations to emerge. Cities there have deployed sound-sensing grids—programs like Fenek and the Zvook network—that identify incoming drones by engine signature alone, often providing earlier warning than radar, especially at night when operators can't see visual cues. It's low-tech in one sense, bleeding-edge in another, and it works.
The Startup Surge and the Incumbent Response
Arlo Industries remains something of a cipher. Beyond its Y Combinator listing and a passing reference in Naval Postgraduate School documentation from a technology experimentation event called JIFX 26-2, held this past spring, details are scarce. That NPS document mentions "Mentat," described as a fully passive, multi-node optical sensing mesh using distributed ray intersection, proposed at Technology Readiness Level 5. Whether Mentat is Arlo's system, a partner's, or simply a coincidence of timing isn't clear from available sources.
What is clear: the proliferated-node concept has moved well beyond academic papers. Fortem Technologies, a Utah-based company that pairs radar with kinetic interceptors it calls DroneHunters, delivered fifth-generation systems in January and secured an $18 million U.S. Army base defense contract in February. The company won contracts to protect U.S. venues for the 2026 FIFA World Cup, an assignment that will put multi-sensor counter-drone networks in front of crowds numbering in the tens of thousands.
MatrixSpace, another emerging name, introduced its Fusion 360 system in February—a portable rig combining radar, passive RF detection, Remote ID receivers, and pan-tilt-zoom cameras, explicitly designed for mesh deployments. The inclusion of Remote ID matters more than it might seem. Since the FAA began enforcing Remote ID requirements in March 2024, compliant drones broadcast position, altitude, and operator location. For integrators, it's another data layer to exploit, albeit one that only catches cooperative actors.
Echodyne, which makes software-defined radars, demonstrated passive-cued operations at the National Training Center late last year, integrating its EchoShield radar with R2's ODIN passive RF sensor. The setup let operators keep radars in low-emission or standby modes, only powering them up when passive detection flagged a potential threat. Published accounts emphasized the survivability angle—reducing electromagnetic signatures that adversaries could target.
Then there are the incumbents adapting to the new reality. CACI's SkyTracker suite received renewed approval under the Department of Homeland Security's SAFETY Act in February, valid through 2031. Rohde & Schwarz showcased its ARDRONIS system at NATO's Technical Interoperability Exercise in May, demonstrating SAPIENT protocol compliance—a British-developed standard that enables plug-and-play integration of sensors and effectors from multiple vendors. NATO used SAPIENT to coordinate security during the 2025 summit in The Hague, an operational proof-of-concept that wasn't lost on procurement officers.
Sentrycs, part of Ondas Holdings, deployed RF-based protocol exploitation technology at the World Economic Forum in Davos early this year and landed contracts for most FIFA World Cup venues, announced in April.
The Australian firm DroneShield, publicly traded on the ASX, posted fiscal 2025 revenue of AU$216.5 million, a 276% year-over-year jump, and announced plans to scale production capacity to roughly $2.4 billion annually by the end of this year. Those numbers suggest demand far outstripping what most forecasters anticipated even eighteen months ago.
Regulation, Urgency, and the Procurement Machine
Market growth isn't happening in a vacuum. The FAA reports more than 100 drone sighting incidents per month near airports, based on data through mid-2026. Some are hobbyists straying into restricted airspace. Others remain unexplained, which unnerves airport operators and federal authorities in equal measure.
The Pentagon stood up Joint Integrated Air and Missile Defense Task Force 401 in mid-2025, centralizing DoD counter-drone efforts. By December, the task force's 100-day update emphasized policy expansion and faster fielding timelines—bureaucratic language that, in practice, means contracts moving at unusual speed.
In February, the Defense Innovation Unit issued an expedited solicitation for homeland and mobile counter-drone sensing, calling for solutions capable of detecting Group 1 drones beyond two kilometers. Notably, the solicitation requires radar but also broadband passive RF capabilities spanning roughly 400 MHz to 8 GHz, enabling what the document calls "adaptive sensing." The emphasis on rapid deployment timelines reflects lessons from overseas conflicts and domestic incidents that have made headlines.
Anduril, the defense tech company co-founded by Palmer Luckey, secured an initial $87 million task order in March under a 10-year contract vehicle potentially worth up to $20 billion. The award positions Anduril's Lattice software as the counter-drone command and control backbone across U.S. forces, a significant vote of confidence in an open-architecture approach where software matters as much as sensors.
Regulatory frameworks are tightening, which paradoxically accelerates market growth. The FAA published a Notice of Proposed Rulemaking on May 6, implementing Section 2209 of the FAA Reauthorization Act. The rule proposes UAS flight restrictions over designated critical infrastructure, with comments due in early July. The agency estimates it will receive more than 9,000 applications for UAS Flight Restrictions over the next five years. Each restricted site becomes a potential customer for detection and forensic systems, even if active mitigation remains legally constrained.
Federal authorities to mitigate drone threats—jamming, takeover, kinetic interception—derive from the Preventing Emerging Threats Act of 2018 and subsequent extensions. Those authorities currently run through September 30, 2025, though legislative proposals would extend them to October 2028. Detection itself faces no such restrictions. Private entities can't legally jam under 47 U.S.C. §333, but they can detect, track, and report all day long.
The Fusion Layer Is Where the Money Is
Mesh architectures solve practical problems. Coverage improves when nodes overlap. If one sensor fails or gets jammed, others fill the gap. Passive nodes operate in environments where active emissions are tactically unwise or legally prohibited. Distributed systems scale gracefully—adding nodes improves resolution without requiring infrastructure overhauls.
Interoperability standards like SAPIENT matter because they let operators mix sensors from different vendors, selecting the best tool for each detection layer. Acoustic sensors excel in urban canyons and at night. Passive RF detects control links and video downlinks. Remote ID provides cooperative tracking of compliant drones. Active radar fills gaps where other modalities falter. Electro-optical and infrared cameras confirm visual identification.
The fusion layer is where value concentrates. Anduril's Lattice software ingests data from heterogeneous sensors and presents a unified air picture. Dedrone offers city-wide detection platforms with cloud-based fusion. The model shifts from proprietary stovepipes to open architectures where data flows freely and algorithms, not hardware, differentiate products.
Emerging technologies promise to push mesh capabilities further still. ETSI's Integrated Sensing and Communication group published reports in 2025 and March this year on architectures that would let 5G and future 6G networks contribute sensing data. 3GPP Release 19 study items, active through last year and into this one, formalize ISAC channel models. The notion is that mobile networks, already ubiquitous in cities, could augment dedicated counter-drone sensors. Early trials may surface by 2027 or 2028, assuming industry momentum holds.
Passive radar—sometimes called passive coherent location—leverages existing radio frequency sources as illuminators. HENSOLDT's TwInvis system underwent trials near Frankfurt Airport in collaboration with German air traffic control, with civil certification efforts continuing through late this year. ERA's VERA-NG system uses time-difference-of-arrival techniques to geolocate emitters without revealing itself. Academic research published in March demonstrates that 5G and OFDM waveforms can serve as illuminators for drone detection, with deep learning algorithms improving classification accuracy, at least in controlled environments.
The Limits Nobody Wants to Discuss
Passive systems aren't magic, though you wouldn't always know it from the pitch decks. Performance depends on geometry, illuminator availability, and clutter environments. Multipath propagation in cities complicates geolocation—signals bouncing off buildings create ghost tracks and false positives. Academic literature from this year addresses ghost-clutter suppression and multi-user OFDM processing, but field conditions remain messy in ways that simulation struggles to capture.
Multi-modal fusion isn't optional; it's necessary to overcome blind spots inherent in any single sensing modality. No one technology sees everything. That's why the DIU solicitation demands radar alongside passive RF, why Fortem integrates optical cameras with its TrueView radar, why MatrixSpace bundles five sensing modes into one package.
Commercial event security is normalizing multi-sensor counter-drone deployments at scales previously reserved for military operations. The 2026 FIFA World Cup, with systems from Fortem, Sentrycs, and other vendors protecting venues across multiple U.S. cities, will represent the largest domestic counter-drone operation in history. The World Economic Forum in Davos demonstrated that temporary, multi-vendor meshes can protect high-profile gatherings without permanent infrastructure. These deployments validate technology and create operational templates that infrastructure operators and city planners will inevitably adapt.
What Comes Next
Procurement cycles are compressing. The Army's Joint Task Force 401 marked its 100-day milestone in December. Anduril's contract vehicle closed in March. DIU's solicitation demands rapid demonstrations, not multi-year development cycles. When urgency meets budget authority, startups with nimble technology can compete against incumbents with decades of radar heritage and Rolodexes full of Pentagon contacts.
For founders building in this space, the opportunity lies less in inventing better sensors than in solving integration and scaling problems. The DoD wants open architectures and plug-and-play nodes. Cities need affordable, deployable systems that respect spectrum regulations and don't require PhD-level expertise to operate. Investors looking at dual-use opportunities should note that the same passive mesh protecting a military base can secure a stadium, a prison, or a power plant. The technology is converging even as the customer base diversifies.
Whether Arlo Industries scales beyond its two-person team or fades into the crowded landscape of defense startups that never made it past the prototype stage, the passive sensing mesh it represents has already moved from concept to operational reality. The question for the rest of the industry isn't whether distributed architectures will replace centralized radar—that transition is underway. The question is whether companies are building systems that can integrate into that distributed future or defending architectures that assume centralized control will always remain viable.
That assumption looks shakier by the quarter.
