Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Andrew Wicker

Andrew Wicker
Machine Learning Engineer, Microsoft (Azure Security Data Science)

Andrew Wicker is a machine learning engineer in the Security division at Microsoft, where his current work focuses on researching and developing machine-learning solutions to protect identities in the cloud. Andrew’s previous work includes developing machine-learning models to detect safety events in an immense amount of FAA radar data and working on the development of a distributed graph analytics system. His expertise encompasses the areas of artificial intelligence, graph analysis, and large-scale machine learning. Andrew holds a BS, an MS, and a PhD in computer science from North Carolina State University.

Sessions

11:00am11:40am Wednesday, March 15, 2017
Platform Security and Cybersecurity
Location: LL21 B Level: Intermediate
Secondary topics:  Cloud
Ram Shankar Siva Kumar (Microsoft (Azure Security Data Science)), Andrew Wicker (Microsoft (Azure Security Data Science))
Average rating: ****.
(4.50, 4 ratings)
Ram Shankar Siva Kumar and Andrew Wicker explain how to operationalize security analytics for production in the cloud, covering a framework for assessing the impact of compliance on model design, six strategies and their trade-offs to generate labeled attack data for model evaluation, key metrics for measuring security analytics efficacy, and tips to scale anomaly detection systems in the cloud. Read more.