Large Language Models in Cybersecurity: From Automation to Intelligence

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Author(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq), Firas Mahmood Mustafa (Duhok Polytechnic University, Iraq)and Shuai Li (University of Oulu, Finland)
Copyright: 2025
Pages: 24
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.ch009

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

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Abstract

Large Language Models (LLMs) have emerged as transformative tools in cybersecurity, offering unprecedented capabilities in automating tasks and providing deep insights into evolving threats. This chapter explores the dual role of LLMs in enhancing cybersecurity—from automating routine operations to generating actionable intelligence. By examining real-world applications, such as threat detection, vulnerability management, and incident response, this chapter highlights the potential of LLMs to mitigate risks while addressing their inherent limitations and ethical concerns. Special attention is given to the interplay between LLMs and quantum-aware cybersecurity, presenting a forward-looking perspective on their integration into complex, next-generation security frameworks.

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Large Language Models in Cybersecurity: From Automation to Intelligence

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