This talk uncovers how machine learning can be used to augment each step of the threat hunting process, from data collection, hypothesis creation, threat visualization, to reporting and coming to intelligent conclusions. It explains how machine learning can rapidly speed up the time to meaning, where in the Pyramid of Pain this process sits, what benefits proactive threat hunting delivers and how to turn a one-off threat hunt into an automated process. Tips and tricks to augment the threat hunting process will be provided - as well as results from real-life threat hunts (APT detections) using machine learning.
