This research examines how Large Language Models (LLMs) overcome limitations of traditional program analysis methods to address modern software complexity challenges.

• LLMs offer context-aware capabilities that traditional analysis tools lack
• Applications span across security vulnerability detection, code comprehension, and software development
• Provides a comprehensive survey of current LLM integration techniques in program analysis
• Highlights opportunities for enhanced cybersecurity frameworks using these advanced models

For security teams, this research delivers valuable insights into how AI can augment existing vulnerability detection systems, potentially reducing false positives and identifying complex threat patterns that traditional tools miss.

A Contemporary Survey of Large Language Model Assisted Program Analysis