Abstract: Disclosed are systems and methods of authenticating a user on a network, including, based on identity information received from the user, accessing at least one data source to retrieve data associated with the user, comparing the retrieved data against a listing of possible questions associated with the retrieved data to determine associations between the retrieved data and the listing of possible questions, based on a ranking of the listing of possible questions, formulating at least one question set using questions within the listing of possible questions for which retrieved data is available, where each of the at least one question set includes at least two different questions, causing at least some of the questions from the at least one question set to be presented to the user, and, based on responses to the questions from the user, determining whether the user is authenticated.

Abstract: Disclosed are systems and methods of authenticating a user on a network, including, based on identity information received from the user, accessing at least one data source to retrieve data associated with the user, comparing the retrieved data against a listing of possible questions associated with the retrieved data to determine associations between the retrieved data and the listing of possible questions, based on a ranking of the listing of possible questions, formulating at least one question set using questions within the listing of possible questions for which retrieved data is available, where each of the at least one question set includes at least two different questions, causing at least some of the questions from the at least one question set to be presented to the user, and, based on responses to the questions from the user, determining whether the user is authenticated.

Abstract: According to the principles of the invention, a fraud detection system receives data relating to telecommunications activity. Event generators generate events from the received data, with each event having a weight corresponding to an increased or decreased likelihood of fraud. The aggregated events for a subject (a subscriber or an account) determine a score for the subject, which is used to prioritize the subject in an investigation queue. Human analysts are assigned to open investigations on the investigation queue according to the priority of subjects. In this manner, investigation resources can be applied more effectively to high-risk subscribers and events.

Abstract: A fraud detection system receives data relating to telecommunications activity. Event generators generate events from the received data, with each event having a weight corresponding to an increased or decreased likelihood of fraud. The aggregated events for a subject (a subscriber or an account) determine a score for the subject, which is used to prioritize the subject in an investigation queue. Human analysts are assigned to open investigations on the investigation queue according to the priority of subjects. In this manner, investigation resources can be applied more effectively to high-risk subscribers and events.