Brennan Lodge
Brennan Lodge is the Director of Information Security at the Manhattan Institute and founder of BLodgic Inc., a cybersecurity firm pioneering Retrieval-Augmented Generation (RAG) systems for governance and threat detection. Brennan’s work in AI-driven cyber defense has been featured at Black Hat 2024, KernelCon, AI Summit NY, and Compliance Week 2024. A former data scientist at Goldman Sachs and R&D AI for Cyber Security lead at HSBC, Brennan now teaches AI and cybersecurity at NYU and advises on AI policy, deepfake detection, and regulatory compliance automation.
Session
As threat actors evolve faster than our security tools, defenders need a new playbook—one that blends explainable AI with real-world cyber context. Enter CADDIE: a Retrieval-Augmented Generation (RAG) engine driven by the Model Context Protocol (MCP) to supercharge SOCs, auditors, and compliance teams. This talk will unpack how we use RAG + MCP to inject real-time policy, threat intel, and log data into large language models, enabling automation for tasks like gap analysis, alert triage, and regulatory mapping. Whether you're a blue teamer, GRC lead, or AI practitioner, you'll walk away understanding how to wield GenAI as a precise, compliant tool—not a hallucinating risk vector.