As organizations adopt AI technologies they inherit operational risk. This risk often manifests itself in AI models that produce erroneous predictions that go undetected. In this talk we will discuss root causes for AI models going haywire, and present a rigorous framework for eliminating risk from AI. We will show how this methodology can be used as building blocks for continuous monitoring and firewall systems for AI.