Abstract: According to an embodiment of the present invention, a computer implemented method and system for identifying fraudulent situations includes monitoring customer activity data associated with an account using the programmed computer processor via the network, wherein the customer activity data comprises a combination of transaction activity, payment activity, and non-monetary activity; applying a prediction algorithm to the customer activity data to identify one or more dusters associated with the account, wherein the one or more clusters are associated with one or more other accounts; and providing one or more recommended treatments for the account and the one or more other accounts through an interface.