Are you drowning in alert analysis, frustrated by verbose documentation, or struggling to speed up integrations? Discover how BYOLLM (Bring Your Own Large Language Model) tackles these challenges using open-source options that keep costs down and data on-prem. We'll explore self-hosted models, integrating human-in-the-loop workflows, as well as automated API-driven service consumption, showcasing AI's current capabilities while acknowledging its limitations.

Imagine a tireless team of digital assistants that understand your security environment, are equipped with role-specific knowledge, and never sleep—all built with open-source models. This session guides you through creating and deploying LLM agents for various roles on a security team. We'll cut through AI hype, focusing on practical applications that genuinely improve your team's quality of life and InfoSec capabilities.

Learn to leverage open-source GenAI in cybersecurity with options to avoid compromising privacy, control, or breaking the bank. We'll cover everything from model selection to hardware considerations, ensuring you understand the requirements for implementation. Throughout the session, we'll demonstrate live examples of these open-source tools and models in action. See how BYOLLM can build a personalized, AI-augmented InfoSec team with immediate, practical applications in the field, all powered by transparent, community-driven technologies.