Abstract: A method includes monitoring data security events on mobile computing devices and positions of the mobile computing devices when the plurality of data security events occurred. A plurality of demographic information of the plurality of geographic positions are determined and a classifier is trained based on the data security events and demographic information. A particular mobile computing device is determined to be located at a particular geographic location and particular demographic information of the particular geographic location is determined. The classifier is applied to the particular demographic information and a particular security risk prediction of the particular geographic location is generated. A particular security measure is activated on the particular mobile computing device based on the particular security risk prediction.

Abstract: Systems and methods obtain personal identity information, identify a user's personal documents containing sensitive information, and can optionally protect the sensitive documents. A user's personal identity information can be obtained from various sources such as operating system, email clients, web browsers, Active Directory or from user's documents. The user's documents on hard drives, cloud storage etc. can be searched. Sensitive documents with personal identities are identified and optionally protected against misuse and theft.