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Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Ram Shankar Siva Kumar

Ram Shankar Siva Kumar
Security Data Wrangler, Microsoft (Azure Security Data Science)

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Ram Shankar is a security data wrangler in Azure Security Data Science, where he works on the intersection of ML and security. Ram’s work at Microsoft includes a slew of patents in the large intrusion detection space (called “fundamental and groundbreaking” by evaluators). In addition, he has given talks in internal conferences and received Microsoft’s Engineering Excellence award. Ram has previously spoken at data-analytics-focused conferences like Strata San Jose and the Practice of Machine Learning as well as at security-focused conferences like BlueHat, DerbyCon, FireEye Security Summit (MIRCon), and Infiltrate. Ram graduated from Carnegie Mellon University with master’s degrees in both ECE and innovation management.

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.