How UBA and Machine Learning Can Turbocharge SIEM

Presented by

451 Group, Niara, Intel Security

About this talk

Many enterprises have leveraged the correlation, visualization and case management of SIEM to drive the workflow of their Security Operations Center and much of the daily activity of the security team. With the introduction of big data scale, machine learning-based analytics and instantly-accessible forensic data, Network and User Behavior Analytics is a terrific complement to SIEM. Intel and Niara will explain how these new capabilities can be seamlessly introduced to SIEM and demonstrate both enhanced attack detection as well as accelerated investigations and response directly from the McAfee Enterprise Service Management (ESM) console.

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