Brennan Lodge is a cybersecurity expert with over 15 years of experience in data science, AI, and threat defense. As founder of Blodgic Inc. and a professor at NYU, he has led AI-centric cybersecurity solutions at top financial institutions, including HSBC and Goldman Sachs. Brennan is known for pioneering the use of Retrieval Augmented Generation (RAG) models in cybersecurity, streamlining threat detection, and enhancing regulatory compliance. He is also a technical advisor and an award-winning AI researcher, driving innovation in cyber defense strategies across multiple industries.

Publications

• RAG against the Machine: Merging Human Cyber Security Expertise with Generative AI By World Academy of Science Engineering Technology (Jul 15 2024)
• Forging the Future by Elevating Cybersecurity Defense with Analyst Wisdom through Generative AI By CXOTech Magazine (Nov 23 2023)
• The Road Ahead for Governance, Risk and Compliance (GRC) and Cybersecurity with Retrieval Augmented Generation By CIO Applications (Nov 15 2023)
• Home grown machine learning implementation for SIRT A use case detecting domain generating algorithms Volume 5 Number 1 By Cyber Security A Peer-Reviewed Journal (Sep 01 2021)
• The Rise of the Machines and Learning to detect DGAs By 2600 Magazine The Hacker Quarterly (Sep 19 2020)