This session delves into the cutting-edge integration of Retrieval-Augmented Generation (RAG) within cybersecurity frameworks. It offers a comprehensive look into how RAG enhances real-time threat intelligence, improves vulnerability assessments, and drives forward-thinking cybersecurity strategies. Attendees will gain insights into how RAG's neural network configurations and adaptive Gen AI mechanisms empower professionals to anticipate and mitigate threats more effectively.
The presentation will also feature case studies from large enterprises and government entities, showcasing RAG's application in real-world scenarios, including phishing detection, insecure code evaluation, and security policy enforcement. The session will conclude with a discussion on the future trajectory of AI-powered risk intelligence in cybersecurity.