In an era where cyber threats are growing in volume and complexity, Security Operations Centers (SOCs) struggle to keep up with alert fatigue and the need for rapid threat prioritization. Retrieval-Augmented Generation (RAG) models offer a revolutionary approach by merging AI-driven data retrieval with real-time threat intelligence, enabling security teams to make informed decisions faster.

This session will demonstrate how RAG models can be integrated into SOC workflows to enhance threat detection, optimize response times, and streamline Governance, Risk, and Compliance (GRC) tasks. Using frameworks like MITRE ATT&CK, we will showcase how RAG automates the process of mapping security incidents to adversary tactics, techniques, and procedures (TTPs). Attendees will gain insights into real-world use cases, including how RAG models have improved SOC efficiency, reduced operational burdens, and empowered teams with actionable, AI-driven insights.

The presentation will include a live demo, showing RAG in action within a simulated SOC environment, and will cover both the technical implementation and the practical outcomes. This session is designed for cybersecurity professionals looking to harness AI to improve their incident response capabilities and operational resilience.