When LLMs meet cybersecurity: a systematic literature review

Abstract The rapid development of large language models (LLMs) has opened new avenues across various fields, including cybersecurity, which faces an evolving threat landscape and demand for innovative technologies. Despite initial explorations into the application of LLMs in cybersecurity, there is a lack of a comprehensive overview of this research area. This paper addresses this gap by providing a systematic literature review, covering the analysis of over 300 works, encompassing 25 LLMs and more than 10 downstream scenarios. Our comprehensive overview addresses three key research questions: the construction of cybersecurity-oriented LLMs, the application of LLMs to various cybersecurity tasks, the challenges and further research in this area. This study aims to shed light on the extensive potential of LLMs in enhancing cybersecurity practices and serve as a valuable resource for applying LLMs in this field. We also maintain and regularly update a list of practical guides on LLMs for cybersecurity at https://github.com/tmylla/Awesome-LLM4Cybersecurity .

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Publication Details

Journal
Cybersecurity
Published
2025-02-05
DOI
https://doi.org/10.1186/s42400-025-00361-w
Citations
120
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
290.27

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article

When LLMs meet cybersecurity: a systematic literature review

Yun Yang, Lun Li, Haiqiang Fei, Rongrong Xi et al.
120 citations
Cybersecurity
Law, AI, and Intellectual Property
290.27
article

When LLMs meet cybersecurity: a systematic literature review

Yun Yang, Lun Li, Haiqiang Fei, Rongrong Xi, Hui Wen, Hongsong Zhu, Dan Meng, Yongji Liu, Jie Zhang, H. Bu
article en
120 citations

Abstract

Abstract The rapid development of large language models (LLMs) has opened new avenues across various fields, including cybersecurity, which faces an evolving threat landscape and demand for innovative technologies. Despite initial explorations into the application of LLMs in cybersecurity, there is a lack of a comprehensive overview of this research area. This paper addresses this gap by providing a systematic literature review, covering the analysis of over 300 works, encompassing 25 LLMs and more than 10 downstream scenarios. Our comprehensive overview addresses three key research questions: the construction of cybersecurity-oriented LLMs, the application of LLMs to various cybersecurity tasks, the challenges and further research in this area. This study aims to shed light on the extensive potential of LLMs in enhancing cybersecurity practices and serve as a valuable resource for applying LLMs in this field. We also maintain and regularly update a list of practical guides on LLMs for cybersecurity at https://github.com/tmylla/Awesome-LLM4Cybersecurity .

CybersecurityVol. 8(1)
Chinese Academy of Sciences (CN), Institute of Information Engineering (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences
Openalex Percentile: Top 0%
Law, AI, and Intellectual Property
290.27
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When LLMs meet cybersecurity: a systematic literature review — Yun Yang, Lun Li, et al. · Cybersecurity (2025) | TGRS Research Map | TGRS