InterceptAI: Adaptive Defense in Dynamic Warfare

Threat missile systems are evolving in type, volume, and capabilities. New threats, such as hypersonic glide vehicles, can now achieve speeds greater than Mach 5 in the atmosphere, maneuver over long distances, and strike targets with high accuracy. The missile threat issue is exacerbated when considering the variety of missile types and the potential for raid scenarios. Additionally, the potential use of Artificial Intelligence (AI) in threat systems to enhance performance and enable autonomous operations is a growing concern. In response, ExoAnalytic Solutions (Exo) and Auburn University are proposing InterceptAI. InterceptAI will develop an advanced simulation platform that leverages cutting-edge AI and reinforcement learning techniques to model and optimize engagements between threat missile systems and interceptor defense. InterceptAI aims to enhance national security by providing decision-makers with valuable insights into optimal engagement strategies, technology advancements, threat assessments, mission planning, and system performance evaluation in dynamic warfare scenarios. By simulating complex interactions between threat missile systems and defensive interceptors, InterceptAI enables the analysis of adversary behavior, prediction of threats, and identification of opportunities for enhancing defensive capabilities. Through continual learning and adaptation, InterceptAI empowers the Missile Defense Agency (MDA) to stay ahead of evolving threats and safeguard critical assets effectively. Approved for Public Release | 25-MDA-12052 (27 Mar 25)