1
Steven D Domenikos, Stamatis Astras, Iris Seri: Identity protection. IndentityTruth, Winstead PC, January 22, 2013: US08359278 (6 worldwide citation)

In general, in one aspect, the invention relates to a system for providing identity protection that, in one embodiment, includes a fraud model for specifying patterns of events indicative of identity fraud and a business rules subsystem used to identify fraud that is specified by the fraud models. T ...


2
Steven D Domenikos, Stamatis Astras, Iris Seri: Identity Protection. Goodwin Procter, May 1, 2008: US20080103798-A1

In general, in one aspect, the invention relates to a system for providing identity protection that, in one embodiment, includes a fraud model for specifying patterns of events indicative of identity fraud and a business rules subsystem used to identify fraud that is specified by the fraud models. T ...


3
Steven D Domenikos, Stamatis Astras, Iris Seri: Identity Protection. Goodwin Procter, May 1, 2008: US20080103799-A1

In general, in one aspect, the invention relates to a system for providing identity protection that, in one embodiment, includes a fraud model for specifying patterns of events indicative of identity fraud and a business rules subsystem used to identify fraud that is specified by the fraud models. T ...


4
Steven D Domenikos, Stamatis Astras, Iris Seri: Identity Protection. Goodwin Procter, May 1, 2008: US20080103800-A1

In general, in one aspect, the invention relates to a system for providing identity protection that, in one embodiment, includes a fraud model for specifying patterns of events indicative of identity fraud and a business rules subsystem used to identify fraud that is specified by the fraud models. T ...


5
Steven D Domenikos, Stamatis Astras, Iris Seri, Steven E Samler: Systems, methods, and apparatus for determining fraud probability scores and identity health scores. Goodwin Procter, November 18, 2010: US20100293090-A1

In general, in one embodiment, a computing system that evaluates a fraud probability score for an identity event relevant to a user first queries a data store to identify the identity event. A fraud probability score is then computed for the identity event using a behavioral module that models multi ...



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