Turning threat reports into detection insights with AI

**Executive Summary:** This document presents an AI-assisted workflow to accelerate detection engineering by extracting candidate TTPs from unstructured threat content, mapping behaviors to the MITRE ATT&CK framework, and comparing those mappings against existing detection catalogs using vector similarity search and LLM-based validation; it stresses human-in-the-loop verification, deterministic prompts for critical steps, and best practices for maintaining accuracy and reproducibility.