Large language model (LLM) for software security: Code analysis, malware analysis, reverse engineering

This is a review article examining how Large Language Models (LLMs, AI systems trained on vast amounts of text to understand and generate language) are being used in cybersecurity to analyze malware (harmful software designed to damage systems). The article surveys recent research on using LLMs for malware detection, understanding malicious code structure, reverse engineering (the process of analyzing compiled software to understand how it works), and identifying patterns of malicious behavior.