Abstract: Methods and apparatuses are described for analyzing and remediating operational risks in production computing systems. A risk mitigation modeler of a server computing device receives risk input data from a plurality of data sources. The modeler selects a risk scenario to be applied to the input data from a plurality of risk scenarios. The modeler analyzes the input data using the selected risk scenario to identify one or more risks present in the input data. The modeler determines a risk remediation plan based upon the selected risk scenario if at least one of the identified risks meets or exceeds a risk tolerance associated with the selected scenario, where the remediation plan comprises instructions to change data elements based upon the identified risk. The modeler transmits the remediation plan to a target production computing system. The target system executes the risk remediation plan to remediate the identified risks.