Identity Analytics (IdA) has experienced tremendous growth within the cybersecurity community. Most of the work has focused on data mining to analyze existing user rights to reduce over-provisioning and improve privileged access management systems. But what about authentication systems that must make decisions using dynamic data that is created in real-time? Steve “Hutch” Hutchinson, GE’s Principal Cybersecurity Architect, will show how you can leverage your own hidden identity analytics to create a risk engine for real-time risk-based authentication decisions. The session will demonstrate where to find data in your system silos as well as techniques to properly tag and label those attributes for efficient processing. Steve will also exhibit exciting new Machine Learning and Artificial Intelligence tools being provided in the cloud that can be used not only to enhance authentication security, but also to shine a light on risks and issues that remain hidden within mountains of data.
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