Detecting Insider Threats using Big Data and Machine Learning by Matthew Ouellette
Over the past few years, IBM Security developed an insider threat tool built on top of the QRadar SIEM. There was a lot of pain and lessons learned to build this tool; the challenges of data engineering, subject matter expertise and the struggles of productizing a research project. Matthew will explain how the tool works, and shed light on the design and product designs made to enable an Insider Threat tool at scale.
This webinar was presented by Matthew Ouellette works as a Software Architect at IBM Security. His primary role is to lead a team of 25+ engineers developing an Insider Threat tool (UBA). Besides UBA, he is engaged with many other QRadar teams (dashboarding, visualizations, reporting) and research projects (like CIC). Before doing application development, Matthew worked as an L3 engineer supporting the QRadar SIEM.
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