Filter generation in practice: from algorithms to LLMs

This article explores how security analysts can automate the often tedious process of creating security filters to reduce false positives. Moving beyond this, the article investigates using Large Language Models (LLMs) to generate filters and a multi-agent system to improve filter validation and correction. The ultimate recommendation is to use a single LLM model for the most efficient and effective solution, resulting in a significant reduction in false positives and increased analyst efficiency.