公开(公告)号：US11769096B2

公开(公告)日：2023-09-26

申请号：US17568684

申请日：2022-01-04

Applicant: Palantir Technologies Inc.

Inventor： Alexander Maass ,  Ben Regev ,  Duncan Hoffman ,  Eugene Mak ,  Elise Norman ,  Elizabeth Patitucci ,  Yevhen Shevchuk ,  Harkirat Singh ,  Joshua Aschheim ,  Juan Jimenez Puig ,  Jorien Van Den Bergh ,  Kai Kamberger ,  Maciej Biskupiak ,  Marissa Miracolo ,  Matthew Julius Wilson ,  Nicolas Prettejohn ,  Patrick Walter ,  Rootul Patel ,  Stephen Heitkamp ,  Richard Deitch

IPC: G06Q10/0635 ,  G06Q20/10

CPC classification number: G06Q10/0635 ,  G06Q20/10

Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.

公开(公告)号：US20220129806A1

公开(公告)日：2022-04-28

申请号：US17568684

申请日：2022-01-04

Applicant: Palantir Technologies Inc.

Inventor： Alexander Maass ,  Ben Regev ,  Duncan Hoffman ,  Eugene Mak ,  Elise Norman ,  Elizabeth Patitucci ,  Yevhen Shevchuk ,  Harkirat Singh ,  Joshua Aschheim ,  Juan Jimenez Puig ,  Jorien Van Den Bergh ,  Kai Kamberger ,  Maciej Biskupiak ,  Marissa Miracolo ,  Matthew Julius Wilson ,  Nicolas Prettejohn ,  Patrick Walter ,  Rootul Patel ,  Stephen Heitkamp ,  Richard Deitch

IPC: G06Q10/06 ,  G06Q20/10

Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.

公开(公告)号：US11216762B1

公开(公告)日：2022-01-04

申请号：US15684507

申请日：2017-08-23

Applicant: Palantir Technologies Inc.

Inventor： Alexander Maass ,  Ben Regev ,  Duncan Hoffman ,  Eugene Mak ,  Elise Norman ,  Elizabeth Patitucci ,  Yevhen Shevchuk ,  Harkirat Singh ,  Joshua Aschheim ,  Juan Jimenez Puig ,  Jorien Van Den Bergh ,  Kai Kamberger ,  Maciej Biskupiak ,  Marissa Miracolo ,  Matthew Julius Wilson ,  Nicolas Prettejohn ,  Patrick Walter ,  Rootul Patel ,  Stephen Heitkamp ,  Richard Deitch

IPC: G06Q10/06 ,  G06Q20/10

Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.