LLMs at the Core: From Attention to Action in Scaling Security Teams

Overview

Explore practical applications of large language models in scaling security teams through this 37-minute conference talk from BSidesSF 2024. Discover how Fotis Chantzis and Paul McMillan have automated key aspects of the software development lifecycle, access management, bug bounty triaging, and attacker detection. Learn about open-source tools created to enhance security team efficiency and gain insights into innovative methods for focusing security efforts. Delve into real-world examples of LLM integration in cybersecurity operations and understand how these technologies can revolutionize attention allocation and action in security teams.

Syllabus

BSidesSF 2024 - LLMs at the Core: From Attention to Action in... (Fotis Chantzis, Paul McMillan)

Taught by

Security BSides San Francisco

Reviews

Start your review of LLMs at the Core: From Attention to Action in Scaling Security Teams

Taught by

LLMs at the Core - From Attention to Action in Scaling Security Teams

Finetuning Large Language Models for Security Log Detections

Next-Gen Detection: Harnessing LLMs for Sigma Rule Automation

Scaling Detection and Response Teams - Enabling Efficient Investigations

Never Stop Learning.