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This document discusses big data security analytics, including what it is, business applications, whether it is disruptive, and a Gartner roadmap. Big data security analytics refers to using analytics on large, diverse data sets to identify security threats and risks. It can be used for applications like fraud detection, intrusion detection, and identifying insider threats. Gartner's roadmap outlines how big data security analytics may evolve between 2020-2022 to become more autonomous and help detect previously unknown threats.





