Volume 3

Perspective

Published: 26 Mar 2026

Fine-Tuning vs. RAG: A Position Paper from the Perspective of LLM-Based Cybersecurity Modeling

Volume 3

Large Language Models (LLMs) have revolutionized natural language processing (NLP) tasks, enabling critical capabilities across domains such as business, finance, and cybersecurity analysis. In particular, LLMs are becoming increasingly important in cybersecurity by supporting threat and vulnerability analysis, intelligent response generation, pattern recognition, and automated threat detection. Although LLMs are pre-trained with a large amount of knowledge, their application to specific domains, such as cybersecurity, is often limited by insufficient..