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公开(公告)号：US20240330678A1
公开(公告)日：2024-10-03
申请号：US18192746
申请日：2023-03-30
Applicant: Truist Bank
Inventor： Seshadri Chintalapati , Joseph Matthew Law , Josephine Middleton-Saulny , Chris McClennen , Phani Kumar Ankani , Michael Anthony Springs
IPC: G06N3/08 , G06F21/62 , G06N3/044 , G06N3/0464
CPC classification number: G06N3/08 , G06F21/6245 , G06N3/044 , G06N3/0464
Abstract: A data privacy management system and method that utilize machine learning are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy measure of at least one of the users. At least one actual data privacy measure is then initiated based upon the at least one predicted data privacy measure to provide enhanced data privacy protection and control to the user.
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公开(公告)号：US20250117514A1
公开(公告)日：2025-04-10
申请号：US18481591
申请日：2023-10-05
Applicant: Truist Bank
Inventor： Uday Gore , Josephine Middleton-Saulny , Phani Kumar Ankani , Joseph Matthew Law , Giridhar Polur , Seshadri Chintalapati
Abstract: A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and/or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and/or data portability measure is generated to provide enhanced data privacy protection and data portability.
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Patent Agency Ranking
公开(公告)号：US20250117512A1
公开(公告)日：2025-04-10
申请号：US18481507
申请日：2023-10-05
Applicant: Truist Bank
Inventor： Uday Gore , Josephine Middleton-Saulny , Joseph Matthew Law , Giridhar Polur , Seshadri Chintalapati , Phani Kumar Ankani
Abstract: A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and/or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and/or data portability measure is generated to provide enhanced data privacy protection and data portability.
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公开(公告)号：US20240330516A1
公开(公告)日：2024-10-03
申请号：US18192726
申请日：2023-03-30
Applicant: Truist Bank
Inventor： Seshadri Chintalapati , Joseph Matthew Law , Josephine Middleton-Saulny , Chris McClennen , Phani Kumar Ankani
IPC: G06F21/62 , G06Q30/0201
CPC classification number: G06F21/6263 , G06Q30/0201
Abstract: A data privacy management system and method are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one information sharing preference and at least one communication request related to user data from a user, and transmitting the information sharing preference and/or communication request to at least one third-party entity to provide enhanced data privacy protection and control to the user.
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公开(公告)号：US20240005037A1
公开(公告)日：2024-01-04
申请号：US18161133
申请日：2023-01-30
Applicant: Truist Bank
Inventor： Seshadri Chintalapati , Joseph Matthew Law , Josephine Middleton-Saulny , Chris McClennen , Phani Kumar Ankani
IPC: G06F21/62
CPC classification number: G06F21/6254
Abstract: Systems, apparatuses, and methods for managing privacy of data are provided. The method includes providing at least one processor in communication with the at least one database, a memory device including readable instructions, and at least one of an agent device and a user device in communication with the at least one processor via a network connection; receiving at least one communication request related to user data; collecting usage data of the user data; and transmitting the communication containing the usage data to a user.
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公开(公告)号：US20250117513A1
公开(公告)日：2025-04-10
申请号：US18481581
申请日：2023-10-05
Applicant: Truist Bank
Inventor： Uday Gore , Josephine Middleton-Saulny , Phani Kumar Ankani , Joseph Matthew Law , Giridhar Polur , Seshadri Chintalapati
Abstract: A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and/or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and/or data portability measure is generated to provide enhanced data privacy protection and data portability.
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公开(公告)号：US20240330503A1
公开(公告)日：2024-10-03
申请号：US18192730
申请日：2023-03-30
Applicant: Truist Bank
Inventor： Seshadri Chintalapati , Joseph Matthew Law , Josephine Middleton-Saulny , Chris McClennen , Phani Kumar Ankani
IPC: G06F21/62
CPC classification number: G06F21/6245
Abstract: A data privacy management system and method are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one information sharing preference and at least one communication request related to user data from a user, and transmitting the information sharing preference and/or communication request to at least one third-party entity to provide enhanced data privacy protection and control to the user.
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