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.

翻译：大语言模型（Large Language Models, LLMs）因其在多个领域处理自然语言时能达到或接近当前最优性能的能力而迅速崭露头角。将此类模型应用于网络安全领域是一项重要的研究方向。本综述旨在梳理大语言模型已在网络安全领域的哪些方面得到应用，探讨其使用方式及在该领域的局限性。最后，本文就如何改进这些局限性提出建议，并展望在克服这些局限性后可预期的系统表现。