The Impact of Large Language Models on IT Security in the Corporate Environment

This paper investigates the impact of Large Language Models (LLMs) on both offensive and defensive aspects of IT security within corporate environments. Addressing the fragmented understanding of LLMs in connection with IT security, the study aims to answer the research question: What attack vectors are enabled by LLMs, and what defense measures can be implemented? Employing a systematic literature analysis and developing use cases, the research combines theoretical insights with practical scenarios. Results provide a comprehensive overview of LLM applications in the realm of Cyber Defense, identifying potential threats and effective defense strategies.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/fllm63129.2024.10852476
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
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article

The Impact of Large Language Models on IT Security in the Corporate Environment

Kristina Schaaff, Alexander Lawall, Sebastian Scholz
Information and Cyber Security
article

The Impact of Large Language Models on IT Security in the Corporate Environment

Kristina Schaaff, Alexander Lawall, Sebastian Scholz
article en

Abstract

This paper investigates the impact of Large Language Models (LLMs) on both offensive and defensive aspects of IT security within corporate environments. Addressing the fragmented understanding of LLMs in connection with IT security, the study aims to answer the research question: What attack vectors are enabled by LLMs, and what defense measures can be implemented? Employing a systematic literature analysis and developing use cases, the research combines theoretical insights with practical scenarios. Results provide a comprehensive overview of LLM applications in the realm of Cyber Defense, identifying potential threats and effective defense strategies.

IU International University of Applied Sciences (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Information and Cyber Security
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