OpenLabyrinth has always had very detailed tracking of user activity built into its back end. In the early days, we wondered if we would ever use such detailed activity metrics to any great extent but it has turned out to be useful in many ways. A surprising side effect was its utility in detecting unusual behavior and cheating. We will provide some interesting examples of this, and also illustrate some methods in OLab that can be used to prevent, detect and research cheating behaviors.