Explore the innovative application of finetuning Large Language Models (LLMs) for security log detections in this 25-minute conference talk from BSidesSF 2024. Delve into the limitations of traditional security log detection methods that rely on pre-defined signatures, and discover how LLMs can be leveraged to create more sophisticated and generalizable detection systems. Learn the process of finetuning popular open-source LLMs for specific security log detection use cases, potentially revolutionizing the approach to identifying and mitigating security threats. Gain insights from speaker Wilson Tang on how this cutting-edge technique can enhance cybersecurity practices and improve the accuracy of threat detection in log data.
Finetuning Large Language Models for Security Log Detections
Security BSides San Francisco via YouTube
Overview
Syllabus
BSidesSF 2024 - Finetuning Large Language Models (LLMs) for Security Log Detections (Wilson Tang)
Taught by
Security BSides San Francisco
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