1. Moscone North 21

Forget the buzz words, we’re here to talk about practical considerations when trying to use Big Data, analytics and machine learning to solve security problems. Mary Writz’s team pioneered early work in this space, and this session will take you through lessons learned (including missteps) in building data lakes and show examples of machine learning and analytics techniques that are effective.

Learning Objectives:
1: Understand the complexities of collecting data to power your analytics
2: Learn to distinguish between differing machine learning methods and understand which are most useful for cyber security
3: Walk through real examples of analytics that detect breaches and be inspired to try build some use cases on your own data

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