Patents Assigned to Bottomline Technologies Ltd.
-
Patent number: 11954688Abstract: An improved method and apparatus for determining if a financial transaction is fraudulent is described. The apparatus in one embodiment collects transactions off of a rail using promiscuous listening techniques. The method uses linear programming algorithms to tune the rules used for making the determination. The tuning first simulates using historical data and then creates a matrix of the rules that are processed through the linear programming algorithm to solve for the variables in the rules. With the updated rules, a second simulation is performed to view the improvement in the performance. The updated rules are then used to evaluate the transactions for fraud.Type: GrantFiled: September 8, 2022Date of Patent: April 9, 2024Assignee: Bottomline Technologies LtdInventors: Avital Serfaty, Shahar Cohen, Yulia Mayer, Dalit Amitai
-
Publication number: 20230004980Abstract: An improved method and apparatus for determining if a financial transaction is fraudulent is described. The apparatus in one embodiment collects transactions off of a rail using promiscuous listening techniques. The method uses linear programming algorithms to tune the rules used for making the determination. The tuning first simulates using historical data and then creates a matrix of the rules that are processed through the linear programming algorithm to solve for the variables in the rules. With the updated rules, a second simulation is performed to view the improvement in the performance. The updated rules are then used to evaluate the transactions for fraud.Type: ApplicationFiled: September 8, 2022Publication date: January 5, 2023Applicant: Bottomline Technologies Ltd.Inventors: Avital Serfaty, Shahar Cohen, Yulia Mayer, Dalit Amitai
-
Patent number: 11449870Abstract: An improved method and apparatus for determining if a financial transaction is fraudulent is described. The apparatus in one embodiment collects transactions off of a rail using promiscuous listening techniques. The method uses linear programming algorithms to tune the rules used for making the determination. The tuning first simulates using historical data and then creates a matrix of the rules that are processed through the linear programming algorithm to solve for the variables in the rules. With the updated rules, a second simulation is performed to view the improvement in the performance. The updated rules are then used to evaluate the transactions for fraud.Type: GrantFiled: August 5, 2020Date of Patent: September 20, 2022Assignee: Bottomline Technologies Ltd.Inventors: Dalit Amitai, Shahar Cohen, Yulia Mayer, Avital Serfaty
-
Publication number: 20220198470Abstract: An improved apparatus and method for detecting fraud is described using a stacked auto encoder with embedding to encode and decode a transaction to determine fraud. The technique includes model tuning software and transaction review software. The model tuning software views the transaction and tunes an artificial neural network model to minimize reconstruction loss. The transaction review software processes the transaction through the artificial neural network model, converting the transaction into a feature vector, encoding the feature vector into a compressed vector, decoding the compressed vector into a reconstructed vector, subtracting the reconstructed vector from the feature vector, and determining a fraud indication and reasoning based on a difference from the reconstructed vector from the feature vector.Type: ApplicationFiled: December 23, 2020Publication date: June 23, 2022Applicant: Bottomline Technologies Ltd.Inventors: Valerie Melul, Avital Seraty
-
Patent number: 11328268Abstract: Disclosed is a system for authenticating checks using a mixed reality environment. The system includes a financial instrumentation central database for storing financial and identification data related to the checks, and a reality glasses coupled to the financial instrumentation central database. The reality glass includes a memory unit for storing a plurality of modules, a camera to capture the image of the check, a reality display; and a wearable processor coupled to the memory unit for processing the stored plurality of modules. The wearable processor is coupled to the financial instrumentation central database, to the camera to process captured images of the check.Type: GrantFiled: October 29, 2020Date of Patent: May 10, 2022Assignee: Bottomline Technologies Ltd.Inventors: Shay Bhubhut, Richard A Baker, Jr., Piyush Gupta
-
Publication number: 20220044248Abstract: An improved method and apparatus for determining if a financial transaction is fraudulent is described. The apparatus in one embodiment collects transactions off of a rail using promiscuous listening techniques. The method uses linear programming algorithms to tune the rules used for making the determination. The tuning first simulates using historical data and then creates a matrix of the rules that are processed through the linear programming algorithm to solve for the variables in the rules. With the updated rules, a second simulation is performed to view the improvement in the performance. The updated rules are then used to evaluate the transactions for fraud.Type: ApplicationFiled: August 5, 2020Publication date: February 10, 2022Applicant: Bottomline Technologies Ltd.Inventors: Dalit Amitai, Shahar Cohen, Yulia Mayer, Avital Serfaty