Advancing Cybersecurity Through Synergies of Agentic AI and High-Performance Computing

Abstract

This paper explores the transformative role of Agentic AI in cybersecurity and its synergy with high-performance computing (HPC). We review recent advancements, challenges, and opportunities in deploying autonomous AI systems for threat detection, incident response, and risk management. The discussion is supported by a comprehensive analysis of recent key publications from industry and academia, highlighting trends and future directions in this rapidly evolving field. We review frameworks, adoption trends, and practical deployments, citing all relevant recent literature. We examine the core components, architectures, and applications of autonomous AI systems in threat detection, incident response, and risk management. The study highlights key technical terms, mathematical foundations, and algorithms essential for implementing these systems, supported by recent advancements from industry and academia. The paper also presents a layered reference architecture integrating HPC, cloud infrastructure, and edge computing to enable scalable and real-time cybersecurity solutions. Challenges, adoption trends, and future directions are discussed, emphasizing the need for secure and ethical deployment of agentic AI in critical systems.