The era of big data is demonstrating to information security that there is more that can and must be done to identify threats, reduce risk, address fraud, and improve compliance monitoring activities by bringing better context to data and creating information for actionable intelligence.
This research studies how both management- and operations-level IT and information security practitioners perceive the change in the volume and types of data available and the security analytics tools needed to provide analysis to generate actionable threat intelligence.
Advanced security analytics provides new adaptive algorithms called machine learning as well as big data analysis techniques that can be utilized to identify abstract data relationships, anomalies, trends, and fraudulent and other behavioral patterns, creating information where only data existed. The era of big data is driving the next technology evolution.
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