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Leidos AirShield Redefines Mobile Counter-Drone Defense with Layered Kinetic and Non-Kinetic Effects.
Leidos is positioning AirShield as a mobile counter-drone system designed to protect forces as they maneuver, combining layered defeat options with advanced decision-support technology against rapidly evolving aerial threats. Presented at AUSA 2026 in Washington, D.C., on October 13, the architecture builds on years of DARPA- and U.S. Army-backed development and live-fire testing, giving commanders a combat-tested approach to detecting, tracking and defeating drones without sacrificing battlefield mobility.

Leidos showcased its evolving AirShield C-UAS architecture at AUSA 2026, highlighting a mobile, layered approach designed to protect maneuvering forces against rapidly changing drone threats (Picture Source: Army Recognition Group)
The rapidly evolving drone threat is forcing armed forces to rethink how air defense accompanies maneuvering formations, and Leidos is positioning AirShield directly against that challenge. At AUSA 2026 in Washington, D.C., on October 13, the company showcased its advanced counter-unmanned aerial system architecture, designed to detect, track and defeat small UAS while forces are on the move. According to Leidos, AirShield combines layered defeat options, advanced threat assessment and artificial intelligence within an adaptable C-UAS architecture intended for increasingly dynamic operational environments.
AirShield represents the continued evolution of years of Leidos investment and engineering in counter-drone technology rather than the emergence of an entirely new capability. The AirShield name was originally introduced at the Association of the U.S. Army Annual Meeting in 2024, building on C-UAS work that began under the Defense Advanced Research Projects Agency's Mobile Force Protection program and later transitioned to the U.S. Army Combat Capabilities Development Command Aviation and Missile Center. Multiple AirShield prototypes have also been demonstrated during live-fire exercises, giving the architecture a development foundation extending beyond laboratory testing. Its renewed presence at AUSA 2026 highlights the continuing maturation of a technology portfolio Leidos has developed around the changing UAS threat.
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At the center of AirShield is a particularly important operational characteristic: the ability to combine kinetic and non-kinetic defeat options while providing protection on the move. Leidos describes AirShield as a multi-layered system capable of operating autonomously from a fixed location or accompanying mobile forces against UAS threats. The architecture supports the broader kill chain from detection, tracking, classification and identification through prioritization, assessment and neutralization. This mobility has significant operational implications. Counter-UAS protection is no longer solely a requirement for fixed bases and strategic infrastructure; maneuvering formations, command elements and other mobile assets can also face persistent drone surveillance and attack. An architecture capable of moving with those forces can extend defensive coverage into environments where a static C-UAS solution would be considerably more restrictive.
AirShield's layered design also reduces dependence on any single means of defeating an aerial threat. Leidos has identified its Co-axial Unmanned Guided Autonomous Rotorcraft, or CUGAR, as an effector associated with the system and has previously outlined integration plans involving the Advanced Precision Kill Weapon System. The architecture is also designed to accommodate additional effectors, including high-energy lasers, turret-mounted guns and high-powered microwave systems. That flexibility is strategically important because the UAS threat is itself diverse: different targets, operating conditions and engagement scenarios can demand different responses. By designing AirShield around multiple kinetic and non-kinetic mechanisms rather than a single interceptor, Leidos is pursuing an architecture that can evolve as new sensors and effectors become available and as adversary drone technologies continue to change.
Artificial intelligence forms another increasingly important layer of that architecture. Leidos says AirShield employs AI for weapon-to-threat pairing, replacing an earlier rule-based approach, while research continues into additional AI and machine-learning enhancements. Current Leidos material describes AirShield as pairing its MXR sensor with an Automated Decision Engine that evaluates the air picture, prioritizes threats and assigns an available effector. MXR itself is designed to detect and track aerial threats in cluttered environments, with machine-learning algorithms helping distinguish drones from birds and ground clutter. From an operational perspective, this combination of sensing, threat prioritization and effector assignment addresses one of the central challenges of modern C-UAS operations: converting a rapidly developing air picture into an appropriate response quickly enough to remain ahead of the threat.
AirShield's presentation at AUSA 2026 reinforces Leidos' approach to counter-UAS as more than a question of developing another interceptor. The company is bringing together sensing, artificial intelligence, decision support, mobility and a range of kinetic and non-kinetic effectors within an architecture designed to integrate with existing air defenses. As unmanned aircraft become more numerous, adaptable and operationally consequential, the ability to detect threats, determine the appropriate response and deliver that response while maneuvering will become increasingly valuable. AirShield demonstrates how Leidos is applying its experience in mission systems, AI and air defense to build a flexible counter-drone capability intended not only to confront today's UAS threat, but to adapt as that threat evolves.
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Written by Teoman S. Nicanci – Defense Analyst, Army Recognition Group
Teoman S. Nicanci holds degrees in Political Science, Comparative and International Politics, and International Relations and Diplomacy from leading Belgian universities, with research focused on Russian strategic behavior, defense technology, and modern warfare. He is a defense analyst at Army Recognition, specializing in the global defense industry, military armament, and emerging defense technologies.















