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1.发明申请公开(公告)号：US20220294793A1
公开(公告)日：2022-09-15
申请号：US17199021
申请日：2021-03-11
Applicant: BANK OF AMERICA CORPORATION
Inventor： Elliott Leonard Lillard , Regina Yee Cadavid , Gloria Youngsook Joo , Jinyoung Nathan Kim , Ramkumar Korlepara , Nia Mack , Philip Lone Mintac , Michael Jacob Richardson , Brandon Sloane , Srilekha Mudumbai Srinivasa
Abstract: Embodiments of the present invention provide a system for authorizing entity users based on augmented reality and LiDAR technology. In particular, the system may be configured to determine that a user has accessed an entity application provided by an entity via a user device, receive a unique identifier from the user device of the user, via the entity application, where the unique identifier is scanned using LiDAR technology present in the user device of the user, determine location of the user based on the unique identifier, determine an entity device associated with the unique identifier and location of the user, perform authentication of the user using at least one authentication method, determine that the authentication is successful, and in response to determining that the authentication is successful, provide access to an entity device.
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公开(公告)号：US12197587B2
公开(公告)日：2025-01-14
申请号：US17847805
申请日：2022-06-23
Applicant: Bank of America Corporation
Inventor： Dustin Paul Stocks , Kayla Ashley Rux , Viswanathan Venkatasubramanian , Ramkumar Korlepara , Sanjay Lohar , Eric Eugene Sifford , Ashley L Jones , David Cuka
Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.
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公开(公告)号：US20220342958A1
公开(公告)日：2022-10-27
申请号：US17240849
申请日：2021-04-26
Applicant: BANK OF AMERICA CORPORATION
Inventor： Elliott Leonard Lillard , Regina Yee Cadavid , Gloria Youngsook Joo , Jinyoung Nathan Kim , Ramkumar Korlepara , Nia Mack , Philip Lone Mintac , Srilekha Mudumbai Srinivasa , Michael Jacob Richardson , Brandon Sloane
IPC: G06F21/10 , G06F16/27 , G06F16/51 , G06F16/583 , H04L29/06
Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for providing intelligent analysis of technical and non-technical data to validate instances of permitted use of such brand elements and generate alerts for instances of non-permitted use of such brand elements. The system provides a single portal view for upload of relevant data and transmission of analysis results. The invention utilizes a permissioned distributed register database architecture for the secure storage and tokenization of brand elements and retrieval of validation and ownership information. The invention further includes the capability to recommend and automate remedial measures to prevent continued unauthorized use of brand elements.
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公开(公告)号：US11593807B2
公开(公告)日：2023-02-28
申请号：US17208024
申请日：2021-03-22
Applicant: Bank of America Corporation
Inventor： Srilekha Mudumbai Srinivasa , Brandon Sloane , Jinyoung Nathan Kim , Regina Yee Cadavid , Nia Mack , Ramkumar Korlepara , Elliott Leonard Lillard , Philip Lone Mintac , Michael Jacob Richardson , Gloria Youngsook Joo
Abstract: A system for verifying a user operating an Automated Teller Machine (ATM) sends an authentication media item to a user device associated with the user when the ATM receives a transaction request. The system receives, from the ATM, a first image of the authentication media item when the authentication media item is presented to the ATM. The system compares the first image of the authentication media item with a second image of the authentication media item stored in a user profile associated with the user. The system extracts a first unique code from the first image of the authentication media item, and a second unique code from the second image of the authentication media item. The system determines whether the first unique code corresponds to the second unique code. The system approves the transaction request if it is determined that the first unique code corresponds to the second unique code.
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5.发明申请公开(公告)号：US20220300924A1
公开(公告)日：2022-09-22
申请号：US17208253
申请日：2021-03-22
Applicant: Bank of America Corporation
Inventor： Srilekha Mudumbai Srinivasa , Brandon Sloane , Jinyoung Nathan Kim , Regina Yee Cadavid , Nia Mack , Ramkumar Korlepara , Elliott Leonard Lillard , Philip Lone Mintac , Michael Jacob Richardson , Gloria Youngsook Joo
Abstract: A system for verifying a user operating an Automated Teller Machine (ATM) receives a first image of the user from the ATM, captured by a camera associated with the ATM, when the ATM receives a transaction request. The system compares the first image of the user with a second image of the user stored in a user profile associated with the user. The system compares the first image of the user with the second image of the user. The system determines whether the first image of the user corresponds to the second image of the user. The system approves the transaction request if it is determined that the first image of the user corresponds to the second image of the user.
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Patent Agency Ranking
公开(公告)号：US11935055B2
公开(公告)日：2024-03-19
申请号：US17207893
申请日：2021-03-22
Applicant: Bank of America Corporation
Inventor： Srilekha Mudumbai Srinivasa , Brandon Sloane , Jinyoung Nathan Kim , Regina Yee Cadavid , Nia Mack , Ramkumar Korlepara , Elliott Leonard Lillard , Philip Lone Mintac , Michael Jacob Richardson , Gloria Youngsook Joo
IPC: G06Q20/40 , G06K7/10 , G06K7/14 , G06Q20/10 , G06Q20/20 , G06Q20/32 , G06Q40/02 , G06V10/75 , G06V40/16 , H04L9/40 , H04N7/18
CPC classification number: G06Q20/40145 , G06K7/10782 , G06K7/1417 , G06K7/1447 , G06Q20/1085 , G06Q20/204 , G06V10/751 , G06V40/168 , G06V40/172 , H04L63/083 , H04L63/0861 , H04N7/188 , G06Q20/3274 , G06Q20/4012 , G06Q40/02 , H04L2463/082
Abstract: An Automated Teller Machine (ATM) terminal receives a transaction request from a user. The ATM terminal triggers a camera to capture a first image of the authentication media item presented by the user, where the first image of the authentication media item is embedded with a first unique code. The ATM terminal compares the first image of the authentication media item with a second image of the authentication media item that is associated with the user, where the second image of the authentication media item is embedded with a second unique code for verifying the user. The ATM terminal determines whether the first unique code corresponds to the second unique code. The ATM terminal conducts the transaction request if it is determined that the first unique code corresponds to the second unique code.
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公开(公告)号：US20230418949A1
公开(公告)日：2023-12-28
申请号：US17847805
申请日：2022-06-23
Applicant: Bank of America Corporation
Inventor： Dustin Paul Stocks , Kayla Ashley Rux , Viswanathan Venkatasubramanian , Ramkumar Korlepara , Sanjay Lohar , Eric Eugene Sifford , Ashley L. Jones , David Cuka
CPC classification number: G06F21/577 , G06F40/20 , G06N20/00
Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.
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8.发明授权公开(公告)号：US11757893B2
公开(公告)日：2023-09-12
申请号：US17199021
申请日：2021-03-11
Applicant: BANK OF AMERICA CORPORATION
Inventor： Elliott Leonard Lillard , Regina Yee Cadavid , Gloria Youngsook Joo , Jinyoung Nathan Kim , Ramkumar Korlepara , Nia Mack , Philip Lone Mintac , Michael Jacob Richardson , Brandon Sloane , Srilekha Mudumbai Srinivasa
CPC classification number: H04L63/102 , G01S17/42 , G06F3/011 , H04L63/083 , H04L63/0853 , H04L63/0876 , H04L63/107
Abstract: Embodiments of the present invention provide a system for authorizing entity users based on augmented reality and LiDAR technology. In particular, the system may be configured to determine that a user has accessed an entity application provided by an entity via a user device, receive a unique identifier from the user device of the user, via the entity application, where the unique identifier is scanned using LiDAR technology present in the user device of the user, determine location of the user based on the unique identifier, determine an entity device associated with the unique identifier and location of the user, perform authentication of the user using at least one authentication method, determine that the authentication is successful, and in response to determining that the authentication is successful, provide access to an entity device.
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公开(公告)号：US20250094599A1
公开(公告)日：2025-03-20
申请号：US18962031
申请日：2024-11-27
Applicant: Bank of America Corporation
Inventor： Dustin Paul Stocks , Kayla Ashley Rux , Viswanathan Venkatasubramanian , Ramkumar Korlepara , Sanjay Lohar , Eric Eugene Sifford , Ashley L. Jones , David Cuka
Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.
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10.发明授权公开(公告)号：US12113797B2
公开(公告)日：2024-10-08
申请号：US18221346
申请日：2023-07-12
Applicant: BANK OF AMERICA CORPORATION
Inventor： Elliott Leonard Lillard , Regina Yee Cadavid , Gloria Youngsook Joo , Jinyoung Nathan Kim , Ramkumar Korlepara , Nia Mack , Philip Lone Mintac , Michael Jacob Richardson , Brandon Sloane , Srilekha Mudumbai Srinivasa
CPC classification number: H04L63/102 , G01S17/42 , G06F3/011 , H04L63/083 , H04L63/0853 , H04L63/0876 , H04L63/107
Abstract: Embodiments of the present invention provide a system for authorizing entity users based on augmented reality and LiDAR technology. In particular, the system may be configured to receive a unique identifier from a user device of the user, where the unique identifier is scanned using LiDAR technology present in the user device of the user, determine location of the user based on the unique identifier, determine an entity device associated with the unique identifier and location of the user, perform authentication of the user using at least one authentication method, determine that the authentication is successful, and in response to determining that the authentication is successful, provide access to an entity device.
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