In this paper the possibility to predict vehicle loss of control using information about the host vehicle's state and the road ahead is investigated. A threat assessment algorithm that predicts loss of control based on assumptions of the driver's future behavior is proposed. The algorithm can be used in an active safety system to motivate e.g. either earlier conventional yaw control interventions or completely autonomous maneuvers in order to keep the vehicle on the road. The algorithm has been experimentally tested and based on measurements it is shown that it is possible to predict powerful understeer situations if the future geometrical path of the vehicle is known.