ALL THINGS CYBER
supply chains and enhance reconnaissance and surveillance. AI can analyze battlefield intelligence and historical data to generate real-time threat assessments. ICT directly utilizes this technol- ogy area to create digital red forces (representing the enemy) to predict and train against. A project is expected to begin in fiscal year 2026 to combine this capability, while also optimizing logis- tics and supply needs of the warfighters. AI ensures that troops receive supplies at the right time and place. Essentially, you have to model their movements before you can model the necessary logistics support for your own troops. Lastly, AI-powered drones can provide continuous battlefield intelligence.
ICT has a long history of interpretating satellite imagery and digital three-dimensional (3D) recreation of the battlefield in the form of its contributions that helped start the program of record, One World Terrain, under the Program Executive Office for Simulation, Training and Instrumentation. AI can automate tactical adjustments and suggest real-time tactical shifts based on evolving battle conditions.
WAR GAMES FOR THE DIGITAL AGE To prepare for AI-driven cyber warfare, ICT has developed three strategic cyber games that enhance cyber defense training and are used by cyber professionals worldwide.
1. CounterNet – A single-player counterterrorism game that teaches Soldiers how to track and disrupt online terrorist networks.
2. Balance of Terror – A two-player strategy game where one side plays as the state and the other as a terrorist organization, teaching players how to balance stability, legitimacy and counterterrorism strategies.
3. Dark Networks – A social network analysis simulation that demonstrates how terrorist organizations structure themselves and how those structures can be disrupted.
A few of ICT’s games have also become part of the Naval Postgraduate School Global ECCO (Education Community Collaboration Online) suite of training tools.
CONCLUSION Te AI revolution in military operations is not a distant possi- bility—it is happening now. From AI-powered training tools to cybersecurity defenses and autonomous combat systems, the Army is embracing AI to enhance readiness, improve deci- sion-making and secure national defense. However, as AI’s capabilities expand, so do threats. Our adversaries are investing in AI-driven cyber warfare, autonomous weapons and disinforma- tion campaigns. Staying ahead requires continuous innovation,
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rigorous AI training for Soldiers and strategic partnerships with industry and academia. By integrating AI into every facet of military operations, the Army is not just responding to modern warfare’s challenges, it is shaping the future battlespace. AI is not replacing Soldiers, it is empowering them to fight smarter, faster and more effectively. While AI-enhanced training and cyber- security tools have already made an impact, there’s still much work to be done.
Te Army’s next priorities should include: 1) scaling PAL3’s AI-driven tutoring system for broader use across military training programs, 2) enhancing AI-driven threat detection to anticipate and counteract cyber threats before they materialize, 3) devel- oping AI-powered battlefield simulations to train Soldiers for scenarios where AI plays an active role in enemy decision-making and commander decision recommendation and 4) advancing AI-assisted decision-making tools that can process battlefield intelligence and support rapid tactical adjustments.
AI isn’t just a tool—it’s a force multiplier that is reshaping warfare. By investing in AI-driven training, cybersecurity and warfighting strategies, the Army will not only defend against future threats but shape the battlefield to our advantage.
For more information, go to the University of Southern California’s Institute for Creative Technologies website at
https://ict.usc.edu.
KEITH BRAWNER, PH.D., is the program manager for ICT and senior scientist/engineer at the U.S. Army Combat Capabilities Development Command Soldier Center, where he is also the lead for AI initiatives. He holds a Ph.D. in computer engineering, focused on intelligent systems and machine learning; an M.S. in computer engineering; and a B.S. in electrical engineering, all from the University of Central Florida. He is the recipient of the National Training and Simulation Association Governors Award for Modeling & Simulation.
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