Bank of America Corporation

Christopher Lamont Rice

Graham Marshall Wyllie

Stephen Thomas Shannon

Siten Sanghvi

William August Stahlhut

Morgan Stewart Allen

Gilbert M Gatchalian

Kamesh R Gottumukkala

Amit Subhash Dixit

Neetu Chadha

Aditya Vyas

Aspects of the disclosure relate to edge-computing ('EC')-based systems and methods for fraud mitigation. The systems and methods may utilize a multi-layer architecture. The architecture may include a set of N gatekeeper units, and each gatekeeper unit may be associated with an EC device. When a transaction request is received, the request may be processed at a first gatekeeper unit, and, if validated, successively processed by the set of N gatekeeper units. If any gatekeeper unit flags the request as suspicious, the unit may emit an audible alert that may be sensed by the associated EC device. The EC device may transmit a signal to one or more of the other gatekeeper units to perform additional processing for the request. When the request reaches the Ngatekeeper unit and achieves validation, the transaction may be executed via a central server connected to a transaction network.

Edge-computing-based architectures for multi-layered fraud mitigation

This application describes apparatus and methods for using edge-computing to control resource distribution among access channels, such as a retail banking center. Edge-nodes may be configured to move a product display in response to detected or expected customer traffic flow in or near a retail location. Edge-nodes may be configured to redirect resources provided by a cloud computing environment to or away from the retail location. Based on customer traffic flow, edge-nodes may direct customers/resources to a retail location and ensure the retail location provides a predetermined quality of service.

Edge-node controlled resource distribution

A processor receives global positioning system data from a mobile device of a user of an account. The processor further receives information from a vendor, indicating that a transaction using the account was attempted. The processor determines, based on historical transaction and location information, and current transaction information, a probability that the transaction is fraudulent. In response, the processor rejects the transaction, and deactivates a card and mobile wallet of the user. The processor also sends a notification to the mobile device requesting a voice confirmation. The processor receives the voice confirmation, splits it into a set of voice characteristic data and determines, based on voice characteristic data stored in memory, that the voice confirmation was generated by the user. In response, the processor reactivates the card and the mobile wallet and stores a set of information describing the transaction in memory.

Security tool

Embodiments of the present invention provide a system for dynamic role-based evaluation of access permissions. The system is configured to generate a database comprising a plurality of job roles and associated access permissions. A job role of a particular user is identified from the database by the system, and the job role is matched to a set of access permissions based on a comparison of the user's job role to the database. The user is authorized for the set of access permissions and generally does not authorize the user for any other access permissions. The system may compile a compliance database comprising the plurality of access permissions and compliance criteria associated with each access permission. When the system receives a user request for accessing an outlier access permission, the system determines whether the user meets the compliance criteria of that outlier access permission before authorizing the outlier access permission.

System for dynamic role-based evaluation of access and permissions

A memory stores a list of identifiers. A processor receives a notification from a card user indicating that the card user is missing a card. The card includes a transmitter configured to broadcast a transmission including a card identifier. The processor adds the card identifier to the list of identifiers. The processor receives messages from mobile devices that received the transmission, including the card identifier from the transmission and locations of the mobile devices. In response to receiving the messages, the processor determines that the list of identifiers contains the card identifier. The processor further determines, based on the locations of the mobile devices, a location of the card and sends the location of the card to a mobile device of the card user.

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Charlotte, NC, United States of America

Christopher Lamont Rice