Large Language Models for Explainable Threat Intelligence

As cyber threats continue to grow in complexity, traditional defense mechanisms often struggle to keep up. Large Language Models (LLMs) offer significant potential in cybersecurity due to their advanced capabilities in text comprehension and generation. This research explores the use of LLMs through Retrieval-Augmented Generation (RAG) to enhance cybersecurity functions by combining real-time information retrieval with domain-specific data for more accurate and timely Cyber Threat Intelligence (CTI).