Understanding How Data Science Applies to Infosec – Michael Roytman – PSW #675
Michael takes us through some of the common AI and ML methods of data science and how they apply to our InfoSec problems.
This segment is sponsored by Kenna Security.
Visit https://securityweekly.com/kennasecurity to learn more about them!
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Michael Roytman is a recognized expert in cybersecurity data science. At Kenna Security, Michael is responsible for building the company’s core analytics functionality focusing on security metrics, risk measurement, and vulnerability measurement. Named one of Forbes’ 30 Under 30, Michael’s strong entrepreneurship skills include founding organizations such as Dharma Platform, a cloud-based data management platform, and TruckSpotting, a mobile app for tracking food trucks. He also serves on the board of Cryptomove, a moving target data protection startup. In addition, Michael chairs the Board of Dharma Platform, is a board member and the program director at the Society of Information Risk Analysts (SIRA), and is a co-author of the Exploit Prediction Scoring System (EPSS). Michael is a frequent speaker at security industry events, including Black Hat, BSides, Metricon, RSA, SIRACon, SOURCE, and more. Michael holds a Master of Science in Operations Research degree from Georgia Institute of Technology.