The Future of Cybersecurity Integrating LLMs With Quantum Computing for Autonomous Defense Systems

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Author(s): Yara Shamoo (Saint Leo University, USA)
Copyright: 2025
Pages: 32
Source title: Leveraging Large Language Models for Quantum-Aware Cybersecurity
Source Author(s)/Editor(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)and Marwan Omar (Illinois Institute of Technology, USA)
DOI: 10.4018/979-8-3373-1102-9.ch012

Keywords: Cyber and Network Security / Information Science Reference / Knowledge Management and Library Science / Natural Language Processing

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Abstract

The integration of large language models (LLMs) with quantum computing represents a groundbreaking approach to addressing cybersecurity challenges in an increasingly interconnected digital landscape. This chapter explores the potential of combining LLMs' advanced natural language processing capabilities with the unparalleled computational power of quantum systems to create autonomous defense mechanisms. These systems aim to identify, predict, and neutralize threats in real-time, significantly enhancing cybersecurity frameworks. The chapter delves into key technical advancements, potential applications, and challenges, including the ethical and operational implications of deploying such hybrid technologies. By examining case studies and emerging trends, this chapter provides a comprehensive vision of the future of cybersecurity powered by LLMs and quantum computing.

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The Future of Cybersecurity Integrating LLMs With Quantum Computing for Autonomous Defense Systems

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