CRAIFeb 26, 2024

A Survey of Large Language Models in Cybersecurity

arXiv:2402.16968v120 citationsh-index: 22
Originality Synthesis-oriented
AI Analysis

It addresses the need for understanding LLM applications in cybersecurity, but is incremental as it synthesizes existing research without new methods or data.

This survey examines the application of Large Language Models (LLMs) in cybersecurity, identifying their current uses and limitations, and provides suggestions for improvement and future expectations.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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