Spectrum dominance is becoming a battlefield necessity, and Sensorz is building the stack that helps militaries detect, classify, and react to RF threats in subseconds. Meir Friedland explains why the old way of handling signals intelligence is breaking under the pressure of drones, GPS spoofing, software-defined radios, and an exploding number of waveforms.

I sat down with Meir Friedland, Co-Founder and CEO of Sensorz, to unpack how a company can turn deep communications intelligence expertise into an end-to-end defense platform. Meir shares how Sensorz went from identifying a gap in the commercial spectrum space to delivering turnkey solutions for tactical units, border security, force protection, and strategic defense customers.

You'll discover:

• What "spectrum dominance" actually means in practice - from detection to rapid reaction
• Why modern battlefields are creating an invisible wireless war that most systems were never designed to handle
• How Sensorz combines algorithms, C2 software, and its own receivers and SDRs into one vertically integrated offering
• Why accessibility matters as much as raw technology, and how the team is making complex RF data usable for non-experts
• How the company builds models and signal libraries while keeping customer data sovereign through its RF Studio pipeline

Meir also breaks down the three customer archetypes Sensorz serves - highly tactical teams that need speed and simplicity, large-scale deployers securing borders and armored vehicles, and strategic operators facing unknown signals where every day saved can change the outcome of a mission. He explains how feedback from the field, especially in Israel, is accelerating product development and revealing use cases they did not expect.

This episode is a sharp look at what it takes to build defense technology for a spectrum that is growing more crowded, more dynamic, and more contested by the day. Essential listening if you care about electronic warfare, SIGINT, defense innovation, or how real-world field requirements shape breakthrough products.

Drone swarms are changing the math of modern air defense. A single interceptor going up against a single drone was always an economically strained equation — but when the threat is dozens or hundreds of coordinated drones arriving at once, traditional systems start to break down entirely.

In this episode, David Yahid speaks with Ido Bar-On, Co-founder and CEO of Skapion, about building a purpose-built counter-swarm system for that reality. Ido walks through why swarm warfare represents a distinct threat category rather than a scaled-up version of single-drone defense, and why he believes hard kill interception — not jamming or soft kill alone — is essential for large, long-range threats like Shahed-class UAVs. The conversation centers on a theme that runs through the whole discussion: defense technology has to be designed for scale and producibility from day one, not retrofitted onto an impressive demo.

In this episode:

• Why simultaneous mass drone attacks demand a fundamentally different defense architecture than single-engagement systems
• The case for hard kill interception over soft kill for large, high-payload threats
• Designing a mobile, standalone system that can sense, decide, and intercept without relying on external connectivity
• Deployability across platforms like trailers, vessels, and helicopters, and what that flexibility means operationally
• Rethinking the cost curve of asymmetric warfare through low-cost interceptors
• What it takes to move counter-swarm technology from demo to fielded, producible system

Skapion is building for a battlefield where the threat no longer arrives one at a time — and where the winning system will be the one built for scale from the start.

In Gaza, Elad Amar watched soldiers drop their rifles mid-contact to pick up a joystick, just to get eyes in the sky. That single tradeoff, weapon readiness for situational awareness, became the problem he built a company to solve.

In this episode of The CET Brief, David Yahid talks with Elad Amar, CEO and founder of PYRRHUS Aeronautics, about LADRS, a weapon-mounted remote system that lets soldiers control drones without ever leaving their weapon. Elad, an IDF reserve captain and infantry officer with deployments in Gaza and Lebanon, explains how firsthand combat experience shaped the product, why the device mounts on a rifle like a PEQ-15 to let soldiers aim, laser-designate a target, and task a drone in one motion, and why PYRRHUS built the system to be both hardware-agnostic and drone-agnostic so units can adopt it without replacing their existing fleets.

Joined by co-founder and CTO Dr. Leandro Gryngarten, a Georgia Tech-trained aerospace engineer, and guided by advisors including General Eric Wesley and John Spencer, Elad frames PYRRHUS's approach as "physical AI" for the battlefield: pushing sensors, compute, and data access down to the individual warfighter instead of leaving it back at headquarters.

In this episode:

• PYRRHUS's first product: a weapon-mounted remote system that lets soldiers control drones directly from the rifle
• Elad's path from IDF reserve captain and infantry officer, with deployments in Gaza and Lebanon, to founder
• Co-founder Dr. Leandro Gryngarten's role leading hardware and systems engineering, with a PhD in aerospace engineering from Georgia Tech
• How advisors General Eric Wesley and John Spencer shape the team's thinking on scalability and U.S. Army integration
• The "aha moment" in Gaza that exposed the cost of switching from rifle to joystick under contact
• How the system mounts on the rifle, PEQ-15 style, so soldiers can aim, laser-designate, and task a drone without letting go of their weapon
• The mission behind the design: staying "on the trigger and not on the joystick"
• Elad's "physical AI" framing, bringing sensors, compute, and data closer to the warfighter instead of headquarters
• The addition of a stronger integrated laser, driven directly by soldier feedback
• Why PYRRHUS is building a modular platform designed for future capabilities
• Why the system is drone-agnostic, letting units keep their current fleet while adding rifle-based control

As Elad puts it, staying on the trigger and off the joystick isn't just a design principle. It's the difference between reacting to a threat and losing the initiative entirely.

Modern drones don't need to trust GPS, and they don't need to broadcast their intentions. They can spoof coordinates, hop between multiple links, and go dark whenever it suits them. For years, counter-drone detection assumed emitters would play by the rules. R2 Wireless was built on the realization that they won't.

In this episode of The CET Brief, David Yahid sits down with Onn Fenig, CEO of R2 Wireless, to talk about ODIN, the company's passive RF sensing platform for detecting, classifying, and geolocating wireless emitters without ever transmitting a signal. Founded by Dr. Yiftach Richter after his work in SIGINT exposed the limits of brute-force drone detection, R2 Wireless has grown into a dual-use platform tested across Israel's borders, NATO exercises, and multiple U.S. Army units, with a fully owned subsidiary now operating out of Austin, Texas.

Onn walks through why passive sensing matters in GPS-denied and electronically contested environments, how ODIN extends beyond drone detection to catch IMSI catchers, tactical radios, and satellite comms, and why the electromagnetic spectrum is becoming the next high ground in modern conflict.

In this episode:

• R2 Wireless's mission: a dual-use platform for passive RF detection, wireless threat detection, and geolocation across military, homeland security, and infrastructure use cases
• Dr. Yiftach Richter's SIGINT background and the consulting work that exposed the limits of brute-force drone detection
• Why GPS dependence breaks down in real conflict, and the case for detection that doesn't trust what an emitter claims
• Field validation across Israel's borders, NATO exercises, the UK and German Ministries of Defense, and U.S. Army units
• Detection beyond drones: IMSI catchers, tactical radios, cell phones, Wi-Fi, Bluetooth, and satellite comms
• Why passive sensing means zero emissions, and how ODIN augments radar and other sensors without adding exposure
• Hardware built on commercial off-the-shelf components, deployable in minutes on drones, vehicles, masts, tripods, or a soldier's backpack
• Scaling in the U.S.: the Austin subsidiary, DIU program work, and R2's first commercial agreement with the DoW
• Flexible commercial models, from amortized military contracts to subscription-based sensing as a service
• Why Onn believes the electromagnetic spectrum is the new high ground, and how cheap drones and jammers are rewriting war economics

As Onn puts it, the platforms still selling standalone sensors the old way are fighting yesterday's war.

Testing RF systems has always meant one of two things: expensive lab hardware or expensive field time. Neither scales, and neither works when the environment you're trying to replicate is a battlefield, not a bench.

In this episode, I sit down with Daniel Ferber and Barr, founders of RFix AI, who set out to solve that problem with software instead of steel. Their platform simulates complex RF transmission scenarios without the racks of equipment traditionally required, running instead on standard hardware, including smartphones and basic laptops.

What makes their approach different is the architecture. RFix AI's simulations don't depend on cloud infrastructure, which means they can run fully air-gapped, a critical requirement for defense clients who can't risk sensitive RF data touching an external network. Combined with a lightweight footprint, that opens the door to use cases ranging from missile communication testing to AI model training to telecom network planning, all without the cost and lead time of physical test ranges.

We get into:

• The military RF challenges that pushed the founders toward building a simulation-first alternative
• How the team's mixed background in aviation engineering, army service, and software shaped the product
• The technical case for running high-fidelity RF simulation on minimal hardware
• Why air-gapped, cloud-independent deployment is a differentiator for defense buyers
• RFix AI's current footprint with Israeli clients and its roadmap into the U.S. defense sector
• How program managers can get hands-on with a demo directly through the RFix AI website

Daniel and Barr's pitch is straightforward: RF teams shouldn't need a warehouse of equipment to know if their system will work in the field.

The modern battlefield has made GPS unreliable. Jamming, spoofing, and degraded signal environments are now standard operating conditions, and most drone systems weren't built for that reality.

Yonatan Samet is the CTO of Sightec, an Israeli defense tech company that has spent years solving exactly that problem. Sightec builds vision-based autonomy software that allows drones and UAVs to navigate, operate, and land precisely without any dependence on GPS. The team is an unusual mix: AI engineers and veteran UAV pilots who have flown in the environments the technology is designed for. That combination, Yonatan argues, is what separates a system that works in the lab from one that survives in the field.

Their two flagship products, NavSite for GPS-denied navigation and Terrasite for precision landing, are already deployed across more than 4,000 systems globally, across defense and commercial operators, and across a wide range of aircraft types. Integration takes under three days.

In this conversation, we get into:

• Why GPS degradation and jamming have become the baseline challenge for drone operators worldwide
• How vision-based autonomy addresses the pilot bottleneck and reduces the cognitive load on operators
• The difference between NavSite and Terrasite, and how they work together
• What it means to be combat-proven, and why that matters when selling to defense customers
• How easing Israeli export regulations has opened up international market access
• Sightec's flexible business model, from one-time sales to subscriptions, and why customer support is central to the strategy
• The roadmap beyond flight safety into mission-specific autonomy capabilities

Yonatan's perspective is shaped by a career moving between automotive autonomy and defense UAVs, and he's clear about what that transition taught him: full-cycle integration and end-user understanding aren't optional. They're the product.

Getting power to the front line has always been a logistics challenge. Getting clean, reliable, on-demand energy there, without a supply chain built around gaseous hydrogen or diesel generators, is a different problem entirely.

Omer Hiram is the co-founder of IonFlux, an Israeli energy tech company building a system that generates hydrogen and electricity directly in the field, using solid aluminum fuel pods and water. No external power source. No hydrogen transport. The aluminum reacts with water to produce hydrogen on demand, which is then converted into usable electricity. The fuel itself is solid, stable, and far easier to move than pressurized gas.

It's a genuinely different approach to field power, and the use cases it opens up are wide-ranging.

In this conversation, we get into:

• Why generating hydrogen on demand is a fundamentally safer and more logistically manageable alternative to transporting it
• How the system powers drones, radios, batteries, and off-grid equipment without heavy infrastructure
• The design philosophy behind keeping it simple enough for end users while still being scalable
• Where IonFlux sits on the path from proof of concept to military pilots and U.S. market entry
• Why logistics, safety, and weight are as central to the product as the underlying chemistry
• The team's vision for backup power, field operations, and energy resilience across military and civilian contexts

Omer's core argument is practical: solid fuel pods that react with water are easier to store, safer to move, and more deployable in constrained environments than anything built around conventional hydrogen logistics. The question isn't whether field power needs to improve, it's whether the solution can actually survive the last mile.

Modern warfare doesn't just see you with the naked eye. It sees you in thermal, in radar, in electro-optical. And most camouflage solutions were built for a different era.

Arnon Kraemer is the CEO and founder of Invisig, an Israeli defense tech company building what he calls an electronic chameleon: a smart, multispectral signature management system that helps vehicles and critical assets evade detection across visual, thermal, radar, and other sensing channels simultaneously. The concept is rooted in dynamic deception rather than static concealment, using adaptive, lightweight materials that can respond in real time to the surrounding environment, with minimal power draw.

Arnon comes to the problem with a sharp operational lens. As a former fighter pilot and defense systems operator, he saw firsthand how detection and targeting have evolved, and how protection hasn't kept pace. The moment of inspiration he describes is vivid: watching a chameleon and asking what it would look like to build that capability into a piece of military hardware.

In this conversation, we get into:

• Why drones, thermal imaging, and electro-optical systems have fundamentally changed battlefield survivability
• How Invisig's system moves beyond camouflage into active, layered signature management
• The modular, carry-on approach that makes it compatible with vehicles and command posts without major integration work
• Where the technology sits in TRL progression and what field testing has shown
• The path toward manufacturing scale and strategic partnerships
• Potential applications across ground forces, naval platforms, and air defense infrastructure

Arnon's framing is straightforward: protect the protectors. The technology Invisig is building exists to give troops and equipment a fighting chance against the targeting systems that now define the modern battlefield.

True drone swarm autonomy doesn't come from software alone — it requires hardware that lets drones communicate directly with each other without relying on a central controller or vulnerable communication links. SpherePoint is building that hardware layer by repurposing off-the-shelf automotive radar chips into tactical transponders that enable peer-to-peer drone communication, jam-resistant coordination, and real swarm behavior at a fraction of traditional defense costs. In this episode, David Sherer, co-founder of SpherePoint, explains how the company pivoted from friendly fire prevention into swarm enablement, why the gap between China's choreographed drone displays and battlefield-ready autonomous swarms is wider than most people realize, and how patented radar-based communication solves the bandwidth and resilience problems that software-only approaches cannot. We cover real-world applications from search and rescue systems deployed on Blackhawk helicopters to counter-UAS and offensive swarm operations, the economic logic of low-cost scalable swarms for both attack and defense, and how rapid iteration during active conflict in Israel has accelerated development. David also walks us through SpherePoint's commercialization strategy built around hardware licensing and ecosystem integration, current partnerships with top defense primes, and plans for US market entry and operational presence.

Autonomous drones, manned aircraft, sensors, and effectors are flooding the battlespace — but without a coordination layer, more platforms just means more chaos. Airwayz is building the operating system that synchronizes human and autonomous systems across air, ground, and maritime domains. In this episode, Yaron Rosen, Executive Chairman of Airwayz, draws on a career spanning military aviation, cyber, and defense investment to explain why the hardest problem in autonomy isn't the vehicles themselves — it's getting them to work together. We cover how the Airwayz platform acts as a vendor-agnostic brain for airspace management, integrating diverse sensors and effectors through an open API architecture, real-world deployments with the IDF, NATO, European critical infrastructure, and FIFA event security, and why natural language interfaces and AI agents are changing how operators plan and respond in real time. Yaron also walks us through the company's approach to supervised autonomy, how legal and operational constraints get embedded directly into decision systems, and the strategy for scaling across US federal operations, defense programs, and civilian urban environments.