Equifax Inc.

Lee Grice

Sandeep Gupta

James Reid

Thresa Dixon

Shen Lu

Scott Garten

Sudhakar Reddy

Christian Hall

Dennis Horton

Julio Farach

Cordell Boynes

Chris Brown

Rakesh Patel

John Mullinax

Troy Cole

Patrick Wadkins

Erik Strong

In some aspects, a computing system can generate entity links between a primary entity object identifying a primary entity for multiple accounts and secondary entity objects identifying secondary entities from the accounts. The computing system can determine a rate at which secondary users change on the accounts. The computing system can update, based on the determined rate, the primary entity object to include a fraud-facilitation flag. The computing system can also service a query from a client system regarding a presence of a fraud warning for a target consumer associated with a consumer system that accesses a service provided with the client system. For instance, the computing system can generate a fraud warning based on the target consumer being identified in a secondary entity object associated with the primary entity object having the fraud-facilitation flag. The computing system can transmit the fraud warning to the client system.

Detecting synthetic online entities facilitated by primary entities

This disclosure involves development and deployment platforms for decision algorithms. For example, a computing system provides software development interface to a client device. The system sets, based on an input from the client device via the interface, a decision engine to a test mode that causes the decision engine to operate on test data stored in a first database and that prevents the decision engine from applying operations from the client device to production data stored in a second database. The system also configures the decision engine in the test mode to execute a different decision algorithms on the test data. The system also sets, based on another input via the interface, the decision engine to a deployment mode that causes the decision engine to operate on the production data. The system configures the decision engine in the deployment mode to execute one or more of the tested decision algorithms.

Software development platform for testing and modifying decision algorithms

The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore, the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.

Application processing and decision systems and processes

The present invention relates to automated decisioning for a credit request associated with an applicant. Information associated with an applicant is received. Data associated with the applicant is received from at least one data source. A user interface is configured to allow a user to provide a definition of decision rules in a near-natural language. Information associated with the decision rules is determined based on the definition of the decision rules. A selection of rule flow information associated with the decision rules is received through the user computer interface. A decision is generated based on the information associated with the applicant, data associated with the applicant from the at least one data source, the information associated with the decision rules, and the selection of information associated with decision rules. The decision is displayed.

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Cumming, GA, United States of America

Lee Grice