Survey on LLM Techniques for Event Log Analysis
/ 1 min read
📜💡 Survey highlights advancements in LLM-based event log analysis techniques. The paper reviews the emerging use of Large Language Models (LLMs) in automating event log analysis, a critical task for security professionals that is often time-consuming and error-prone. Researchers are exploring various methods, including fine-tuning, Retrieval-Augmented Generation (RAG), and in-context learning, to enhance performance in this area. While significant progress has been made, the survey identifies gaps in existing research and emphasizes the need for a comprehensive understanding of the field, common challenges, and potential solutions for future development. This overview aims to guide further exploration and innovation in LLM applications for event log analysis.
