Patents by Inventor Dalit Amitai

Dalit Amitai has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Apparatus for fraud detection rule optimization
    Patent number: 11954688
    Abstract: 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: Grant
    Filed: September 8, 2022
    Date of Patent: April 9, 2024
    Assignee: Bottomline Technologies Ltd
    Inventors: Avital Serfaty, Shahar Cohen, Yulia Mayer, Dalit Amitai
  • Apparatus for Fraud Detection Rule Optimization
    Publication number: 20230004980
    Abstract: 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: Application
    Filed: September 8, 2022
    Publication date: January 5, 2023
    Applicant: Bottomline Technologies Ltd.
    Inventors: Avital Serfaty, Shahar Cohen, Yulia Mayer, Dalit Amitai
  • Fraud detection rule optimization
    Patent number: 11449870
    Abstract: 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: Grant
    Filed: August 5, 2020
    Date of Patent: September 20, 2022
    Assignee: Bottomline Technologies Ltd.
    Inventors: Dalit Amitai, Shahar Cohen, Yulia Mayer, Avital Serfaty
  • Fraud Detection Rule Optimization
    Publication number: 20220044248
    Abstract: 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: Application
    Filed: August 5, 2020
    Publication date: February 10, 2022
    Applicant: Bottomline Technologies Ltd.
    Inventors: Dalit Amitai, Shahar Cohen, Yulia Mayer, Avital Serfaty