Abstract: Systems, methods, and computer machines for electronically monitoring an employee's behavior to identify risk are described. A method includes receiving first data from legal databases that includes information regarding legal activity relating to the employee, receiving second data from financial databases that includes financial activity relating to the employee, receiving third data relating to activities electronically conducted by the employee on a network, receiving fourth data from social networking databases that includes social networking activity conducted by the employee, aggregating the first, second, third, and fourth data into an employee profile relating to the employee, determining legally Protected Information regarding the employee from the employee profile, determining anomalies associated with the employee based on the employee profile and the legally Protected Information, and generating an alert relating to the anomalies.

Abstract: Systems, methods, and computer machines for electronically monitoring an employee's behavior to identify risk are described. A method includes receiving first data from legal databases that includes information regarding legal activity relating to the employee, receiving second data from financial databases that includes financial activity relating to the employee, receiving third data relating to activities electronically conducted by the employee on a network, receiving fourth data from social networking databases that includes social networking activity conducted by the employee, aggregating the first, second, third, and fourth data into an employee profile relating to the employee, determining legally Protected Information regarding the employee from the employee profile, determining anomalies associated with the employee based on the employee profile and the legally Protected Information, and generating an alert relating to the anomalies.

Abstract: Systems, methods, and computer machines for electronically monitoring an employee's behavior to identify risk are described. A method includes receiving first data from legal databases that includes information regarding legal activity relating to the employee, receiving second data from financial databases that includes financial activity relating to the employee, receiving third data relating to activities electronically conducted by the employee on a network, receiving fourth data from social networking databases that includes social networking activity conducted by the employee, aggregating the first, second, third, and fourth data into an employee profile relating to the employee, determining legally Protected Information regarding the employee from the employee profile, determining anomalies associated with the employee based on the employee profile and the legally Protected Information, and generating an alert relating to the anomalies.