The infamous 2013 data breach at Target revealed that security alarms raised by its monitoring software were often ignored or deemed unworthy of further investigation. Organizations need to augment existing data security mechanisms with capabilities that provide data security analysts with more context and intelligence based on anomalies. IBM Researchs data activity-monitoring platform can now take advantage of data-mining techniques to extend traditional database monitoring with increased intelligence to help security analysts understand risk based on relative changes in behavior. An outlier indicator provides the reason for the anomaly, such as unusually high volume or a rare event.”]
Source: https://securityintelligence.com/using-outlier-detection-to-catch-sneaky-data-breaches/