The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 04, 2021

Filed:

Oct. 29, 2020
Applicant:

Sift Science, Inc., San Francisco, CA (US);

Inventors:

Rajiv Veeraraghavan, San Francisco, CA (US);

Pradhan Bagur Umesh, San Francisco, CA (US);

Rishabh Kothari, San Francisco, CA (US);

Abbey Chaver, San Francisco, CA (US);

Assignee:

Sift Science, Inc., San Francisco, CA (US);

Attorneys:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06F 9/54 (2006.01); G06N 20/00 (2019.01); G06Q 30/02 (2012.01); G06Q 50/00 (2012.01); G06Q 50/26 (2012.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0185 (2013.01); G06F 9/541 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06Q 30/0204 (2013.01); G06Q 50/01 (2013.01); G06Q 50/265 (2013.01);
Abstract

A system and method for generating an insult rate and reconfiguring an automated decisioning workflow includes configuring a testing group based on sampling from online events having an adverse disposal decision computed by an automated decisioning workflow computer that is configured with machine learning-based threat score thresholds that, if satisfied, causes a computation of a disallow decision or a block decision for a given online event; evaluating a performance and collecting performance data of distinct members of the testing group over a testing period; computing an insult rate for the testing group based on the performance data; computing an insult rate equilibrium for the automated decisioning workflow computer based on the performance data; evaluating the insult rate against the insult rate equilibrium; and reconfiguring adverse decisioning thresholds based on the evaluation of the insult rate of the testing group against the insult rate equilibrium for the automated decisioning workflow computer.


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