Overview
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Explore practical applications of machine learning in threat hunting and detection through this 37-minute conference talk from BSidesSF 2022. Delve into two years of research on developing machine learning models for identifying security threats. Examine case studies showcasing high-value detections and gain insights into the potential of this technology paradigm shift in cybersecurity. Learn how machine learning can enhance threat hunting capabilities and improve overall security posture from speaker Omid Mirzaei's expertise and real-world examples.
Syllabus
BSidesSF 2022 - Practical Threat Hunting With Machine Learning (Omid Mirzaei)
Taught by
Security BSides San Francisco