Large Language Models in Cybersecurity: State-of-the-Art
Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi, Feng Cheng, Christoph Meinel
2025
Abstract
The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across diverse fields, significantly elevating capabilities. Cybersecurity, traditionally resistant to data-driven solutions and slow to embrace machine learning, stands out as a domain. This study examines the existing literature, providing a thorough characterization of both defensive and adversarial applications of LLMs within the realm of cybersecurity. Our review not only surveys and categorizes the current landscape but also identifies critical research gaps. By evaluating both offensive and defensive applications, we aim to provide a holistic understanding of the potential risks and opportunities associated with LLM-driven cyberse-curity.
DownloadPaper Citation
in Harvard Style
Motlagh F., Hajizadeh M., Majd M., Najafi P., Cheng F. and Meinel C. (2025). Large Language Models in Cybersecurity: State-of-the-Art. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP; ISBN 978-989-758-735-1, SciTePress, pages 98-110. DOI: 10.5220/0013377600003899
in Bibtex Style
@conference{icissp25,
author={Farzad Motlagh and Mehrdad Hajizadeh and Mehryar Majd and Pejman Najafi and Feng Cheng and Christoph Meinel},
title={Large Language Models in Cybersecurity: State-of-the-Art},
booktitle={Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP},
year={2025},
pages={98-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013377600003899},
isbn={978-989-758-735-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP
TI - Large Language Models in Cybersecurity: State-of-the-Art
SN - 978-989-758-735-1
AU - Motlagh F.
AU - Hajizadeh M.
AU - Majd M.
AU - Najafi P.
AU - Cheng F.
AU - Meinel C.
PY - 2025
SP - 98
EP - 110
DO - 10.5220/0013377600003899
PB - SciTePress