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Large Language Models in Cybersecurity: From Automation to Intelligence
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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