Wells Fargo Bank, N.a.

Shuvam Sengupta

Rameshchandra Bhaskar Ketharaju

Ashutosh Verma

Debashis Ghosh

Naveen Gururaja Yeri

Himanshu Baral

John Penacerrada

Ramesh Babu Sarvesetty

Maxwell Williams

Anjeet Kumar

Chaya Lakshmi Paruchuri

Systems, apparatuses, methods, and computer program products are disclosed for device connectivity-based authentication. An example method includes receiving, from a first device, an authorization request associated with a first action. The example method also includes receiving a current connectivity dataset from the first device which indicates one or more devices detected by the first device to be in communication with the first device. The example method also includes comparing the current connectivity dataset with a reference connectivity dataset. The example method also includes determining, based on the comparison, whether the current connectivity dataset and the reference connectivity dataset satisfy a predefined similarity threshold. The example method also includes authorizing, in an instance in which the current connectivity dataset and the reference connectivity dataset satisfy the predefined similarity threshold, the first device to perform the first action.

Systems and methods for device connectivity-based authentication

Systems, apparatuses, methods, and computer program products are disclosed for automated model development. An example method includes parsing, by configuration circuitry, a configuration file, and generating, by an execution engine and based on the parsed configuration file, model code for training and testing a machine learning model. The example method further includes generating, by the execution engine, a machine learning pipeline, wherein the machine learning pipeline comprises the model code and a data processing engine, and instantiating, by a monitoring driver, a monitoring engine to monitor the machine learning pipeline. The example method further includes causing execution, by the execution engine, of the machine learning pipeline, and during execution of the machine learning pipeline, generating model performance data by the monitoring engine. The example method further includes receiving, by from the execution engine, model output data, wherein the model output data comprises a trained model and model performance data.

Systems and methods for universal machine learning pipeline execution

Systems, apparatuses, methods, and computer program products are disclosed for generation of a user biosignature. An example method includes extracting user data from a data environment, wherein the user data is associated with a user. The example method further includes analyzing the user data, wherein the user data comprises one or more data types, wherein the one or more data types comprise at least metadata and biometric data. The example method further includes determining a character classification associated with each of the one or more data types based on the analyzed user data, wherein the character classification comprises a primary character classification and a secondary character classification. The example method further includes generating a user biosignature based on the determined character classification, and outputting the generated user biosignature.

Systems and methods for generating a blended user biosignature using multimodal AI

Systems, apparatuses, methods, and computer program products are disclosed for providing interoperability between private and public blockchains. An example method for providing interoperability between private and public blockchains includes, by a key exchange controller (KEC): receiving access key generation instructions; generating, based on the key generation instructions, an access key comprising access credentials; transmitting the access key to an access key target on a public blockchain network; receiving, from the access key target, a access request including the access credentials and information indicating a private blockchain on a private blockchain network; and providing, in response to receiving the access request, access for the access key target to access the private blockchain of the private blockchain network.

Systems and methods for data lineage authentication

Systems, apparatuses, methods, and computer program products are disclosed for regulating data communication. An example method includes receiving, by transaction circuitry, a communication request and identifying, by data collection engine and based on the communication request, a set of security parameters. The example method further includes determining, by security analysis engine and based on the set of security parameters, a security score associated with the communication request and in an instance in which the security sore fails to satisfy a security requirement, determining, by the security analysis engine, one or more security actions based on the security score and performing, by the transaction circuitry, the one or more security actions. The example method further includes routing, by data regulation engine and based on a configuration table, a transaction associated with the communication request to a compliant communication channel.

Systems and methods for regulating data communication

Systems, methods, and computer program products are disclosed for issuing one or more blockchain tokens for property rights. An example method includes receiving an indication of user input including attributes of a property and, and generating a primary blockchain token, where the primary blockchain token includes metadata that correspond to the attributes of the property. The example method further includes broadcasting, over a blockchain network, a transfer of the primary blockchain token to the primary party, and generating one or more secondary blockchain tokens, where each of the one or more secondary blockchain tokens includes respective secondary metadata that correspond to unique subdivided property rights regarding the property, where the secondary metadata include a link to the primary blockchain token. The example method further includes broadcasting, over the blockchain network, transfer of the one or more secondary blockchain tokens to one or more secondary parties.

Systems and methods for issuing blockchain tokens for property rights

Systems, apparatuses, methods, and computer program products are disclosed for dynamically generating a new data rule. An example method includes receiving a data rule including an operation to be applied to a data entry and determining regarding whether the data rule belongs to a set of previously-reviewed data rules. The example method further includes, when the data rule does not belong to the set of previously-reviewed data rules, providing the data rule to a user for human validation and receiving human validation. The example method further includes, causing an update, by rule generation circuitry, of an element of a machine learning model, where the element corresponds to the data rule where the update changes a weight value based on the validation and generating the new data rule based on the updated machine learning model. The example method further includes replacing the data rule with the new data rule.

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Kolkata, India

Shuvam Sengupta