Rafale F4 gets new electronic warfare payload that hunts enemy radar in flight⁠52%

By Aamir Khollam⁠45%

7/13/2026, 11:05:59 PM

BS Summary: This article contains 0 faulty reasoning types, including no named faulty reasoning patterns yet, with no single egregious example has been isolated yet. Analysis detected 0 faulty-reasoning hits from 519 analyzed words, generating a BS Score of 52.1% and a BS Rank of ⁠52% (7,355 of 15,282 articles). This article is worse (more manipulative) than 51.90% of the article peer group.

Dassault Aviation has completed a flight test that paired its Rafale F4 fighter with an unmanned aircraft carrying a compact electronic warfare payload, demonstrating a new way to detect and locate hostile radar systems before a strike. The demonstration involved NAMIB, an electronic warfare system developed with French startup Harmattan AI. During the exercise, the drone identified a radar installation from several dozen kilometers away, calculated its location, and relayed the coordinates to the Rafale. The fighter then simulated an attack on the target, showcasing how crewed aircraft and low-cost drones can cooperate during future combat missions. Lightweight electronic warfare NAMIB is designed to detect, classify, and geolocate electromagnetic emissions, especially those generated by air defense radars. Engineers built the payload for multiple unmanned platforms, allowing operators to install it on small quadcopters or larger fixed-wing drones with longer endurance. That flexibility gives military planners more options when gathering intelligence near contested airspace. Instead of exposing expensive crewed aircraft to enemy defenses, operators can send smaller autonomous systems closer to threats while keeping fighter jets farther from danger. Dassault said the flight validated the exchange of targeting data between the unmanned platform and the Rafale F4. After receiving the drone’s information, the fighter successfully completed a simulated engagement against the radar site. Rafale expands drone teamwork The project began in January 2026 under a strategic partnership between Dassault Aviation and Harmattan AI. Both companies aim to integrate greater autonomy into future air combat operations by combining crewed aircraft with expendable unmanned systems. Dassault Chairman and CEO Eric Trappier said the exercise demonstrated the Rafale F4’s ability to operate as part of a broader multi-domain force. He added that the aircraft’s F4 architecture supports communication with a wide range of operational assets, including ground units. According to Trappier, the test also showed how the fighter can benefit from NAMIB’s electromagnetic detection and geolocation capabilities while supporting a “high-low mix” of advanced aircraft and autonomous expendable systems. Future combat architecture Electronic warfare has become increasingly important as modern air defense networks grow more sophisticated. Detecting hostile radar emissions early can improve mission planning and reduce risks for strike aircraft operating in contested environments. Harmattan AI Co-Founder and CEO Mouad M’Ghari said NAMIB proves that advanced electronic warfare functions can now fit on lightweight autonomous platforms operating close to hostile systems. He said the collaboration combines Dassault’s experience in combat aircraft with Harmattan AI’s expertise in autonomous technologies and embedded intelligence. The companies believe that approach can shorten the time needed to field new capabilities for military customers. They also see the technology as an early step toward collaborative combat networks where fighters, drones , and other battlefield assets share information in real time to improve targeting and mission effectiveness. For U.S. defense observers, the demonstration reflects a growing global trend toward integrating autonomous systems into electronic warfare missions. Similar concepts continue to gain momentum as air forces seek affordable ways to extend sensor reach, reduce pilot risk and improve battlefield awareness without relying solely on traditional crewed platforms.

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519 words analyzed.

Speakers

3speakers27%attributed speech381writer words
Selected voice

Eric Trappier

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73 attributed words53% of attributed speech0% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Analysis

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