Patents by Inventor Rimon Nissan

Rimon Nissan 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).

  • Utilizing artificial intelligence to predict risk and compliance actionable insights, predict remediation incidents, and accelerate a remediation process
    Patent number: 11580475
    Abstract: A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: February 14, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: San Retna, Tushant Nayyar, Amit Bansal, Rithesh Mohan, Rimon Nissan, Jennifer Pham
  • UTILIZING ARTIFICIAL INTELLIGENCE TO PREDICT RISK AND COMPLIANCE ACTIONABLE INSIGHTS, PREDICT REMEDIATION INCIDENTS, AND ACCELERATE A REMEDIATION PROCESS
    Publication number: 20200202268
    Abstract: A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 25, 2020
    Inventors: San Retna, Tushant Nayyar, Amit Bansal, Rithesh Mohan, Rimon Nissan, Jennifer Pham