Patents by Inventor Pavan Kumar Reddy Kotlo

Pavan Kumar Reddy Kotlo 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).

  • Patent number: 11895133
    Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: February 6, 2024
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: Scott Anderson Sims, Jeffrey Brian Bashore, Michael Joseph Carroll, Christopher J. Cooley, Andrew DongHo Kim, Pavan Kumar Reddy Kotlo, Randy J. Nelson, Jennifer Quillen, Lizabeth Rosenberg, Dharmender Kumar Satija, James F. Stevens, Craig Douglas Widmann
  • Publication number: 20220321586
    Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.
    Type: Application
    Filed: April 5, 2021
    Publication date: October 6, 2022
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Scott Anderson Sims, Jeffrey Brian Bashore, Michael Joseph Carroll, Christopher J. Cooley, Andrew DongHo Kim, Pavan Kumar Reddy Kotlo, Randy J. Nelson, Jennifer Quillen, Lizabeth Rosenberg, Dharmender Kumar Satija, James F. Stevens, Craig Douglas Widmann
  • Publication number: 20220286476
    Abstract: Embodiments of the invention are directed to a system, method, or computer program product for cross-channel network security with tiered adaptive mitigation operations. In this regard, the invention is structured for dynamic detection of security events associated with network devices and resources, and triggering real-time mitigation operations across a plurality of resource channels. The invention provides a novel method for employing activity data to construct and implement mitigation actions for de-escalating authorization tiers that are adapted to the specific attributes of the activity data, in order to prevent security exposure associated with the activity. Another aspect of the invention is directed to determining whether to continue the tiered adaptive mitigation actions and/or trigger a security proceed signal.
    Type: Application
    Filed: March 3, 2021
    Publication date: September 8, 2022
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Michael Joseph Carroll, Jeffrey Brian Bashore, Joel Filliben, Andrew DongHo Kim, Akhilendra Reddy Kotha, Pavan Kumar Reddy Kotlo, Ronnie Joe Morris, JR., Dharmender Kumar Satija, Michael Shih, Scott Anderson Sims, Craig D. Widmann