Personam is addressing this widespread vulnerability with an entirely different approach, one specifically designed to detect an insider threat on a computer network. The key is to understand the behaviors of all the actors on a network (e.g. employees, contractors, automated processes, network-enabled devices, etc.), and identify the actors that are working outside the organizational norms. We do this by applying advanced machine learning techniques that use the network data to learn the behavior patterns of the actors and of the organization. Our technology can identify a threat even if the actor is using an unknown attack method, or is exfiltrating the data “low and slow” to avoid tripping traditional monitoring controls.