Bank of America Corporation

James Thomas MacAulay

Brandon Sloane

Jinyoung Nathan Kim

Sophie Morgan Danielpour

Lauren Jenae Alibey

Serge Alejandro Neri

Systems, computer program products, and methods are described herein for generating and monitoring digital certificate rights in a distributed network. The present invention may be configured to receive a first request for certification of a first user, cause a first user device to display a first interface including one or more input fields for receiving information associated with the first user, receive data input by the first user to the one or more input fields of the first interface, and determine, based on the data, whether the first user satisfies requirements for the certification. The present invention may be configured to generate, based on determining that the first user satisfies the requirements for the certification, a non-fungible token certifying the first user, store the non-fungible token on a distributed ledger, and record, on the distributed ledger, the first user as owner of the non-fungible token.

Systems and methods for generating and monitoring non-fungible token rights in a distributed network

A system is provided for secured electronic data access through machine-learning based analysis of combined access authorizations. In particular, the system may maintain an access provisioning database which stores data regarding the data access authorizations that have been granted to one or more third party computing systems or entities. The system may further continuously monitor and aggregate electronic data from one or more electronic data streams and analyze the electronic data to intelligently generate probabilities for future events that create certain combinations of access authorizations that affect the security of the electronic data to which the third party computing systems have authorized access. In this way, the system may provide an effective way to manage access authorizations.

System for secured electronic data access through machine-learning based analysis of combined access authorizations

The present invention is generally related to systems and methods for providing an improved authentication and verification system through the use of compiled user data and unique user action data collected by the system from a prompted movement analysis. The system may collect and analyze multiple instances of user actions using intelligent machine learning techniques in order to identify patterns unique to the user. The system may then use this information in conjunction with other known information in order to determine the veracity of attempted user authentication or authorization requests.

System and method for intelligent authentication via object movement recognition

Various systems, methods, and computer program products are provided for complex data encryption. The method includes receiving a user input code from a computing device associated with a user. The user input code is one or more plaintext characters. The method also includes generating a first encrypted value using a first encryption algorithm based on the user input code. The method further includes decrypting the first encrypted value using one or more additional encryption algorithms. The one or more synthetic user input codes are generated by the decryption of the first encrypted value using each of the one or more additional encryption algorithms. The method still further includes determining a first encryption vulnerability score based on the value of the one or more synthetic user input codes. The method also includes causing a transmission of a user input code notification based on the first encryption vulnerability score.

System and method for providing complex data encryption

Embodiments of the present invention provide a system for establishing a secure session to authenticate DNS requests via dynamically configurable trusted network interface controllers. The system is configured for receiving a DNS request from a first device, wherein the DNS request comprises a unique authentication package, wherein the unique authentication package comprises encrypted data, in response to receiving the DNS request, initiating a handshaking protocol with the first device, establishing a handshaking session with the first device based on the encrypted data using the handshaking protocol, receiving a query associated with the DNS request, wherein the query is generated using a handshaking algorithm associated with the handshaking protocol, and performing at least one action in response to receiving the query.

System and method for establishing a secure session to authenticate DNS requests via dynamically configurable trusted network interface controllers

Systems, computer program products, and methods are described herein for intelligent capacity planning for resources with high load variance. The present invention is configured to receive, from a user input device, an input to process a request at a first time; determine network resources required to process the request; determine a current capacity of the network resources at the first time; retrieve, from an internal repository, a first predefined threshold associated with the network resources, wherein the first predefined threshold is associated with the current capacity; retrieve, from the request, a resource requirement associated with processing the request; determine that the resource requirement is greater than the first predefined threshold; and in response, generate a dashboard report, wherein the dashboard report indicates that the network resources are at a peak load capacity at the first time; and display the dashboard report to the user input device.

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Erie, CO, United States of America

James Thomas MacAulay