Retrieval Augmented Generation for Threat Intelligence

Explore a 30-minute conference talk on Retrieval Augmented Generation (RAG) for Threat Intelligence, presented by Aron Lagerberg, Principal AI Scientist at Recorded Future. Delve into the revolutionary impact of generative AI and Large Language Models (LLMs) on threat intelligence systems. Discover how Recorded Future has developed a RAG system using LLMs to interface with their threat intelligence graph, addressing critical challenges such as leveraging real-time data, ensuring answer reliability, and optimizing system speed. Learn about the goal of providing users with reliable, fact-based answers to natural language queries concerning threat intelligence. Gain insights from Lagerberg's extensive experience in transforming state-of-the-art ML methods into practical applications, spanning fields like life sciences and finance. Understand the intersection of NLP, Generative AI, Graphs, and AI Engineering in automating the threat intelligence lifecycle for cyber and geopolitical security.