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Large Language Models in Cybersecurity: Threats, Exposure and Mitigation

This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also...

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Main Authors:	Kucharavy, Andrei, Plancherel, Octave, Mulder, Valentin, Mermoud, Alain, Lenders, Vincent
Format:	Book
Language:	English
Published:	Springer 2025
Subjects:	Open Access large language models cybersecurity cyberdefense
Online Access:	https://dlib.phenikaa-uni.edu.vn/handle/PNK/11842
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spelling	oai:localhost:PNK-118422025-04-27T03:31:56Z Large Language Models in Cybersecurity: Threats, Exposure and Mitigation Kucharavy, Andrei Plancherel, Octave Mulder, Valentin Mermoud, Alain Lenders, Vincent Open Access large language models cybersecurity cyberdefense This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts. 2025-04-27T03:31:56Z 2025-04-27T03:31:56Z 2024 Book https://dlib.phenikaa-uni.edu.vn/handle/PNK/11842 en application/pdf Springer
institution	Digital Phenikaa
collection	Digital Phenikaa
language	English
topic	Open Access large language models cybersecurity cyberdefense
spellingShingle	Open Access large language models cybersecurity cyberdefense Kucharavy, Andrei Plancherel, Octave Mulder, Valentin Mermoud, Alain Lenders, Vincent Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
description	This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.
format	Book
author	Kucharavy, Andrei Plancherel, Octave Mulder, Valentin Mermoud, Alain Lenders, Vincent
author_facet	Kucharavy, Andrei Plancherel, Octave Mulder, Valentin Mermoud, Alain Lenders, Vincent
author_sort	Kucharavy, Andrei
title	Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
title_short	Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
title_full	Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
title_fullStr	Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
title_full_unstemmed	Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
title_sort	large language models in cybersecurity: threats, exposure and mitigation
publisher	Springer
publishDate	2025
url	https://dlib.phenikaa-uni.edu.vn/handle/PNK/11842
_version_	1830585004984369152
score	8.893527

Large Language Models in Cybersecurity: Threats, Exposure and Mitigation

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