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公开(公告)号：US20240303664A1
公开(公告)日：2024-09-12
申请号：US18669968
申请日：2024-05-21
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC: G06Q20/40 , G06Q20/20 , G06V30/194 , G06V30/41
CPC classification number: G06Q20/4016 , G06Q20/20 , G06V30/194 , G06V30/41
Abstract: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.
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公开(公告)号：US20240265405A1
公开(公告)日：2024-08-08
申请号：US18636886
申请日：2024-04-16
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC: G06Q30/018 , G06N5/046 , G06N20/00 , G06Q20/10 , G06Q20/20 , G06Q20/24 , G06Q20/32 , G06Q20/34 , G06Q20/40 , G06Q30/0207 , G06Q30/0241
CPC classification number: G06Q30/0185 , G06N5/046 , G06N20/00 , G06Q20/102 , G06Q20/20 , G06Q20/24 , G06Q20/3224 , G06Q20/34 , G06Q20/401 , G06Q20/4016 , G06Q20/407 , G06Q20/409 , G06Q30/0225 , G06Q30/0248
Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.
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公开(公告)号：US11978064B2
公开(公告)日：2024-05-07
申请号：US17745541
申请日：2022-05-16
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC: G06Q30/018 , G06N5/046 , G06N20/00 , G06Q20/10 , G06Q20/20 , G06Q20/24 , G06Q20/32 , G06Q20/34 , G06Q20/40 , G06Q30/0207 , G06Q30/0241
CPC classification number: G06Q30/0185 , G06N5/046 , G06N20/00 , G06Q20/102 , G06Q20/20 , G06Q20/24 , G06Q20/3224 , G06Q20/34 , G06Q20/401 , G06Q20/4016 , G06Q20/407 , G06Q20/409 , G06Q30/0225 , G06Q30/0248
Abstract: In a computer-implemented method of using customer data to determine that geolocation-based fraud alerts are false positives, it may be determined that an electronic fraud alert is a geolocation-based alert generated based upon an unexpected or abnormal transaction location. In response, customer data may be obtained from two or more sources via radio frequency links. It may then be determined that the customer data from the sources indicates that a customer is traveling. In response, it may be determined that a customer location indicated by the customer data corresponds to the transaction location. In response to determining that the customer location corresponds to the transaction location, the electronic fraud alert may be marked as a false positive, and the electronic fraud alert may be prevented from being transmitted to a mobile device of the customer, in order to reduce an amount of false positives that are transmitted to customers.
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公开(公告)号：US20230394500A1
公开(公告)日：2023-12-07
申请号：US18222199
申请日：2023-07-14
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC: G06Q30/018 , G06N5/046 , G06N20/00 , G06Q20/10 , G06Q20/20 , G06Q20/24 , G06Q20/34 , G06Q20/40 , G06Q30/0207 , G06Q20/32
CPC classification number: G06Q30/0185 , G06N5/046 , G06N20/00 , G06Q20/102 , G06Q20/20 , G06Q20/24 , G06Q20/34 , G06Q20/401 , G06Q20/407 , G06Q20/409 , G06Q20/4016 , G06Q30/0225 , G06Q20/3224 , G06Q30/0248
Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.
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公开(公告)号：US11687938B1
公开(公告)日：2023-06-27
申请号：US17080476
申请日：2020-10-26
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
CPC classification number: G06Q20/4016 , G06N20/00 , G06Q20/24 , G06Q20/3224 , G06Q20/409
Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.
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Patent Agency Ranking
公开(公告)号：US20230088436A1
公开(公告)日：2023-03-23
申请号：US17993758
申请日：2022-11-23
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.
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公开(公告)号：US20220366433A1
公开(公告)日：2022-11-17
申请号：US17827015
申请日：2022-05-27
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC: G06Q30/00 , G06N20/00 , G06Q20/32 , G06Q20/40 , G06Q20/24 , G06Q20/20 , G06N5/04 , G06Q20/10 , G06Q20/34 , G06Q30/02 , G06V30/40 , G06V30/194
Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.
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公开(公告)号：US20210158355A1
公开(公告)日：2021-05-27
申请号：US15465871
申请日：2017-03-22
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
Abstract: In a computer-implemented method of pre-empting fraud disputes caused by billing aliases or unrecognized merchant billing names, an indication that a credit card financial transaction is unrecognizable by the card owner may be received. A billing alias for a merchant associated with the unrecognizable transaction may be determined, where the billing alias is named on a credit card statement as billing merchant. A brick and mortar name that the merchant associated with the billing alias is doing business as may be determined, and an electronic notification indicating the brick and mortar name of the merchant may be generated. The electronic notification may be transmitted to a mobile device of the card owner over a wireless communication channel for card owner review or approval to facilitate preventing financial disputes caused by unrecognized or unfamiliar billing aliases on credit card or other financial statements.
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公开(公告)号：US11004079B1
公开(公告)日：2021-05-11
申请号：US15931560
申请日：2020-05-13
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
Abstract: A method of identifying a merchant computer terminal warranting a chargeback includes identifying a merchant computer terminal associated with a fraudulent financial transaction, and receiving information associated with the merchant computer terminal. The information may include an actual configuration, parameters, and/or specifications associated with the merchant computer terminal. The method also includes receiving up-to-date dispute rules associated with chargebacks, and analyzing the dispute rules to determine merchant computer terminal requirements. The method further includes comparing the terminal requirements with the information associated with the merchant computer terminal to identify whether the merchant computer terminal is compliant with the dispute rules. Based upon the comparison, an electronic notification may be generated that indicates whether a chargeback is warranted due to the merchant computing terminal being non-compliant with the dispute rule, and the electronic notification may be transmitted to a merchant computing device to facilitate resolving financial transaction disputes.
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公开(公告)号：US10949854B1
公开(公告)日：2021-03-16
申请号：US16540505
申请日：2019-08-14
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L Phillips , Russell Ruestman , Bradley A Craig
Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.
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