Embodiments of the invention are directed to systems and methods for implementing a rules suggestion engine that suggests rules to a user for lowering fraud in future transactions. Embodiments of the invention segment the transaction data based on at least one attribute defined by the user. One or more key indicators are identified corresponding to the segmented data. A correlation is performed between the user defined attribute and one or more key indicators. One or more transaction rules are generated based on the correlation that are suggested to the user for future transactions. The user can customize the rule, a field of rule, a prioritization of the rules, and even create categories of rules.