This research introduces a novel approach that combines Large Language Models with Retrieval-Augmented Generation to transform cyber threat detection and response capabilities.

• Integrates GPT-4o with continuous threat intelligence feeds for real-time analysis
• Automates vulnerability assessment and contextual reasoning
• Enhances security teams' ability to prioritize and respond to emerging threats
• Bridges the gap between raw threat data and actionable security insights

This innovation matters because it addresses the growing challenge of keeping pace with rapidly evolving cyber threats while reducing the cognitive load on security analysts, ultimately enabling more proactive cybersecurity postures.

LLM-Assisted Proactive Threat Intelligence for Automated Reasoning