Sep 23–26, 2019

Ryan Foltz
Data scientist, Exabeam

Ryan Foltz is a data scientist at Smarter SIEM company Exabeam, applying the latest machine learning approaches to cybersecurity. Previously, he was a data specialist at the Harvard-Smithsonian Center for Astrophysics, and he is founder and lead game designer at Epic Banana Studios. He earned his PhD at the University of California, Riverside, for his research on galaxy formation and evolution.

Sessions

2:05pm–2:45pm Thursday, September 26, 2019

Location: 1A 06/07

Learning asset naming patterns to find risky unmanaged devices

Data Science, Machine Learning, & AI

Secondary topics: Deep Learning, Streaming and IoT

Ryan Foltz (Exabeam)

Unmanaged and foreign devices in the corporate networks pose a security risk, and the first step toward reducing this risk is the ability to identify them. Ryan Foltz walks you through a comprehensive device management machine learning model based on deep learning that performs anomaly detection based on only device names to flag devices that do not follow naming structures. Read more.