Abstract: 

User behavior analytics (UBA) is an emerging set of security controls and processes that inspect patterns of user behavior and apply various methods to identify anomalies and events within that behavior representative of security threats. Rather than focus on networks, systems, or applications, UBA centers on the user, particularly user access of cloud data, and is intended to identify malicious insiders, compromised users, fraud, and various advanced attacks.

In this session, we’ll talk about the Netflix solution for UBA, including the data processing architecture, various analytic components that identify abnormal patterns, and systems that drive appropriate action. In addition, we will share some critical success factors and learnings as we embarked on this journey.

Bio: 

Shankar leads the Cloud Infrastructure Analytics Data Engineering and Analytics team at Netflix. His team is responsible for providing analytical solutions for Netflix Infrastructure teams. Shankar’s team builds data products on improving performance, security, efficiency and reliability of both corporate and product infrastructure. Prior to this role, Shankar led the Payments Analytics team at Netflix where his team provided data solutions to keep churn due to payments to a minimum. Shankar is highly passionate about creating data products that utilize the power of data science for better business benefits.

Prior to Netflix, Shankar was at Rovi Corporation where he led a Business Intelligence team to provide analytical solutions for various business units. Shankar has a Masters in Computer Science and a 2nd Masters in Predictive Analytics.