TechCrunch reports on data science’s role in helping organizations crack down on insider threats. Data science is used to extract knowledge and detect patterns. The information it produces can help an organization define normal user behavior based on identities, roles, and working circumstances. Using data science can help point out abnormal user behavior, stop insider threats, and help lower the amount of false positives. “Most users have rather clean and repeating patterns in their work from a statistics point of view,” said F-Secure Labs Lead Researcher Jarno Niemelä. “Thus, alarming changes in the users’ behavior can be detected with suitable near real-time statistics analysis tools, supported by heuristics and machine learning systems.”
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