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FORT BLISS, Texas — Lockheed Martin on Aug. 26 showcased a prototype Battle Manager Suite for the Guam Defense System in a simulated Guam operating environment, fusing data from Integrated Air and Missile Defense assets planned for the island into a single air picture and using artificial intelligence to generate rapid fire-direction recommendations.
The event marked the company’s phase 2 evaluation in response to a U.S. Army call in June for a GDS Battle Manager Suite solution, with the prototype demonstration conducted at the Army Tactical Systems Integration Lab at Fort Bliss. Less than two months after the call, the system integrated data and decision-support tools for multiple IAMD systems.
Building on earlier work at Valiant Shield 2026 that emphasized rapid, software-driven command-and-control integration in a cross-industry setting, the prototype introduced several capabilities. It prioritized responses by continuously analyzing hundreds of tracks, helping operators process more information and make faster decisions. It merged live feeds from IAMD systems, including Aegis Guam and IBCS, into a common tactical picture that displays the entire joint operating area, weapon inventories, and engagement opportunities. An open architecture enabled swift incorporation of new software, preplanned warfighter responses, Air Task Orders, Airspace Control Orders, IAMD planner defense designs, and partner-provided capabilities to adapt to changing battlefield conditions. After arriving at the lab, the suite was integrated within 24 hours and met all demonstration criteria.
“In missile defense, seconds can determine whether an operator protects a populated island or exhausts precious interceptors,” said Tiffany Marr, director CommandIQ, Golden Dome for America C2 and Advanced Concepts at Lockheed Martin. “When you give commanders a single, real-time status of every sensor, weapon system, and munition loadout, then automatically recommend the optimal weapon for each incoming threat, they can make faster decisions, preserve ammunition and maximize protection of critical assets at machine speed.”
The system is powered by CommandIQ and replaces traditional, manual steps in IAMD battle management with AI-driven, algorithmic shot selection informed by thousands of simulations. The approach is intended to deliver machine-speed decision-making that preserves high-cost interceptors while optimizing missile-defense responses.
