Using Machine Learning to Improve Security Predictions

Posted on in Presentations

Organizations are overwhelmed by data and dependent on outdated (nonpredictive) tools and methods. Security companies can’t keep up with the frequency of attacks, 50% of which are missed by traditional antivirus programs. In this session, McAfee’s CISO will share his experiences, providing valuable information for security organizations to predict attacks by relying on data science and machine learning.

Learning Objectives:
1: Understand why SOCs aren’t working and how attacks are advancing.
2: Learn the various ways to focus on data science for understanding the core data problems.
3: Discover how to effectively use machine learning at the SOC level to predict attacks.

Grant Bourzikas


CISO & VP, Data Science Applied Research, McAfee

Analytics Intelligence & Response

security analytics anti-malware behavioral analytics artificial intelligence & machine learning



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