A Survey of Large Language Models in Cybersecurity

• URL: http://arxiv.org/abs/2402.16968v1
• Date: Mon, 26 Feb 2024 19:06:02 GMT
• Title: A Survey of Large Language Models in Cybersecurity
• Authors: Gabriel de Jesus Coelho da Silva, Carlos Becker Westphall
• Abstract summary: Large Language Models (LLMs) have quickly risen to prominence due to their ability to perform at or close to the state-of-the-art in a variety of fields while handling natural language. This survey aims to identify where in the field of cybersecurity LLMs have already been applied, the ways in which they are being used and their limitations in the field.
• Score: 0.5221459608786241
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Large Language Models (LLMs) have quickly risen to prominence due to their ability to perform at or close to the state-of-the-art in a variety of fields while handling natural language. An important field of research is the application of such models at the cybersecurity context. This survey aims to identify where in the field of cybersecurity LLMs have already been applied, the ways in which they are being used and their limitations in the field. Finally, suggestions are made on how to improve such limitations and what can be expected from these systems once these limitations are overcome.

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