Military commanders determine the appropriate Force Protection measures to protect their units from a wide variety of threats based on their assessment of the enemy threat in the specific situation They currently have no statistical tool from which to base their assessment of the threat, or to recognize changes in the current situation. In Operations Other Than War (OOTW), environments where the enemy is disorganized and incapable of mounting a deception plan, staffs could model hostile events as stochastic events and use statistical methods to detect changes to the process. This thesis developed a statistical tool, based on Cumulative Sum (CUSUM) and Shewhart Charts, that military leaders can use in OOTW environments to recognize statistically significant changes in the situation. The tool applies current univariate control chart methods, as well as an original nonparametric multivariate control scheme developed in this thesis, to North Atlantic Treaty Organization (NATO) Stabilization Force (SFOR) incident data. The tool enables commanders to identify isolated and persistent shifts in the means of the data categories or shifts in the correlation of three data categories. By recognizing changes in the current situation, military leaders have a basis from which to change their force protection measures and better protect their unit.