Abstract: Systems and methods for presenting fraud detection information are presented. In one example, a computer system analyzes empirical data to detect potentially fraudulent activity and alerts users of the potentially fraudulent activity via a fraud detection user interface. The fraud detection user interface determines a set of user interface components to suitable to present the potentially fraudulent activity and presents facts associated with the potentially fraudulent activity to a user for further analysis and investigation.

Abstract: Systems and methods for presenting fraud detection information are presented. In one example, a computer system analyzes empirical data to detect potentially fraudulent activity and alerts users of the potentially fraudulent activity via a fraud detection user interface. The fraud detection user interface determines a set of user interface components to suitable to present the potentially fraudulent activity and presents facts associated with the potentially fraudulent activity to a user for further analysis and investigation.

Abstract: Systems and methods for presenting fraud detection information are presented. In one example, a computer system analyzes empirical data to detect potentially fraudulent activity and alerts users of the potentially fraudulent activity via a fraud detection user interface. The fraud detection user interface determines a set of user interface components to suitable to present the potentially fraudulent activity and presents facts associated with the potentially fraudulent activity to a user for further analysis and investigation.

Abstract: Systems and methods for presenting fraud detection information are presented. In one example, a computer system analyzes empirical data to detect potentially fraudulent activity and alerts users of the potentially fraudulent activity via a fraud detection user interface. The fraud detection user interface determines a set of user interface components to suitable to present the potentially fraudulent activity and presents facts associated with the potentially fraudulent activity to a user for further analysis and investigation.

Abstract: Systems and methods for presenting fraud detection information are presented. In one example, a computer system analyzes empirical data to detect potentially fraudulent activity and alerts users of the potentially fraudulent activity via a fraud detection user interface. The fraud detection user interface determines a set of user interface components to suitable to present the potentially fraudulent activity and presents facts associated with the potentially fraudulent activity to a user for further analysis and investigation.

Abstract: A systems and methods are described detect fraud in existing logs of raw data. There can be several disparate logs, each including data of disparate data types and generated by different and possibly unrelated software enterprise applications. The fraud management system aggregates and organizes the raw log data, archives the data in a manner that facilitates efficient access and processing of the data, allows for investigation of potentially fraudulent usage scenarios, and uses the results of the investigation to identify patterns of data that correspond to correspond to high risk usage scenarios and/or process steps. In subsequent processing, archived data can be compared against the identified patterns corresponding to high risk usage scenarios to detect matches, and the invention thereby automatically detects high risk usage scenarios and issues appropriate alerts and reports.