A Machine Learning Primer for the Blue Team | 10
Blueprint • 2020-08-11
Austin Taylor discusses the promise and reality of cyber security-centric data science, and how you can use machine learning for solving practical security problems.
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Featured Guest Bio:
Austin Taylor has an extensive background in Defensive and Offensive Cyber Operations and has performed incident response for some of the world's top Fortune companies. His expertise includes penetration testing, data science, threat hunting and User and Entity Behavioral Analytics (UEBA). He has taught data science courses for the last 3 years and is the author of "How to Build a World Class Monitoring System for Home, Small Office, or Enterprise Networks". In his off time, he teaches programming and conducts training at conferences. He currently serves as a Cyber Warfare Operator for the United States Air Force and is Director of Cybersecurity R&D at IronNet Cybersecurity. Austin holds multiple industry certifications including CISSP, GXPN, GMON, GCCC, GCIA, GCIH, GCPM, GSEC, GPEN, CEH, VCP, CCNA:Security.
Learn more about Austin.
Follow Austin Taylor on Twitter (@HuntOperator) and LinkedIn (/in/austintaylor/).
