Behavioral analytics is a relatively new data security subset that can strengthen an enterprise’s threat detection and response capabilities. It does this by first learning the normal patterns of behavior of every person, application, file and machine in the organization. It then can detect and measure anomalous changes in those behaviors. A key trend driving the growth of behavioral analytics is the vast accumulation—and the improving accessibility—of data. Never before have companies stored as much data from endpoint devices, email, network activity and, most recently, intellectual property content repositories. The latter is where behavioral analytics can be a de facto last line of defense to protect the most sensitive data. By aggregating, analyzing and measuring anomalous events—and then connecting them together—a behavioral analytics engine uncovers a prioritized view of the true threats facing an organization, while discounting the massive volumes of otherwise unimportant data. In this slide show, edited by eWEEK and featuring security insight from Ottawa-based Interset and California-based Perforce Software, we offer eight examples of when behavioral analytics may be the right tool to fight data theft.