Cyber Defense Reinvented: Large Language Models as Threat Intelligence Copilots

• URL: http://arxiv.org/abs/2502.20791v2
• Date: Wed, 16 Apr 2025 11:18:52 GMT
• Title: Cyber Defense Reinvented: Large Language Models as Threat Intelligence Copilots
• Authors: Xiaoqun Liu, Jiacheng Liang, Qiben Yan, Jiyong Jang, Sicheng Mao, Muchao Ye, Jinyuan Jia, Zhaohan Xi,
• Abstract summary: CYLENS is a cyber threat intelligence copilot powered by large language models (LLMs)<n>CYLENS is designed to assist security professionals throughout the entire threat management lifecycle.<n>It supports threat attribution, contextualization, detection, correlation, prioritization, and remediation.
• Score: 36.809323735351825
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The exponential growth of cyber threat knowledge, exemplified by the expansion of databases such as MITRE-CVE and NVD, poses significant challenges for cyber threat analysis. Security professionals are increasingly burdened by the sheer volume and complexity of information, creating an urgent need for effective tools to navigate, synthesize, and act on large-scale data to counter evolving threats proactively. However, conventional threat intelligence tools often fail to scale with the dynamic nature of this data and lack the adaptability to support diverse threat intelligence tasks. In this work, we introduce CYLENS, a cyber threat intelligence copilot powered by large language models (LLMs). CYLENS is designed to assist security professionals throughout the entire threat management lifecycle, supporting threat attribution, contextualization, detection, correlation, prioritization, and remediation. To ensure domain expertise, CYLENS integrates knowledge from 271,570 threat reports into its model parameters and incorporates six specialized NLP modules to enhance reasoning capabilities. Furthermore, CYLENS can be customized to meet the unique needs of different or ganizations, underscoring its adaptability. Through extensive evaluations, we demonstrate that CYLENS consistently outperforms industry-leading LLMs and state-of-the-art cybersecurity agents. By detailing its design, development, and evaluation, this work provides a blueprint for leveraging LLMs to address complex, data-intensive cybersecurity challenges.

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