Abstract: Systems, apparatuses, methods, and computer program products are disclosed for simultaneous machine multifactor authentication. An example method includes simultaneously receiving, by communications hardware and in response to a machine authentication request, a plurality of authentication factors for a machine via a plurality of channels, wherein the plurality of authentication factors comprises at least one hardware-based challenge authentication factor. The example method further includes verifying, by an authentication engine, the plurality of authentication factors in parallel and authorizing, by the authentication engine, one or more actions based on a successful verification of the plurality of authentication factors.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for transaction facilitation via a plurality of clearinghouse devices. An example method includes receive, from a user device, a transaction request and determining, based on the transaction request and a clearinghouse mapping protocol, whether the first clearinghouse device is to facilitate a transaction associated with the transaction request. The method also includes in response to determining that the first clearinghouse device is to facilitate the transaction, authenticating the user device, facilitating the transaction associated with the transaction request, generating an audit trail object based on the facilitated transaction, and causing transmission of the audit trail object to a central entity.

Abstract: 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.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for mitigating deterioration of modeling system performance. An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes determining, by context analysis circuitry and in response to detecting the occurrence of the triggering condition, a destination modeling solution based on a regime strategy for the modeling system. The example method also includes switching, by regime deployment circuitry and based on the regime strategy, from a source modeling solution to a destination modeling solution.

Abstract: 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.

Abstract: Various embodiments are generally directed to insight quantization and state control, such as in the context of CRM. Some embodiments are particularly directed to forecasting and avoiding or diffusing user issues, such as customer complaints, associated with enterprises and enterprise systems. For example, embodiments include utilizing insight indexes to quantize user states, determining a likelihood for issues to arise based on the quantized insight indexes, and performing a state improvement process when the likelihood for issues arises. The state improvement process may generate and/or implement mediating output actions configured to adjust the quantized insight indexes and reduce the likelihood for issues to arise.

Abstract: An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes scheduling, by context analysis circuitry and based on the occurrence of the triggering condition, retraining of a model. The example method also includes generating, by data grafting circuitry and in response to scheduling the retraining of the model, a context-relevant training data set based on a target context vector. The example method also includes retraining, by model training circuitry, the model using the context-relevant training data set to mitigate deterioration of performance of the model.

Abstract: An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes scheduling, by context analysis circuitry and based on the occurrence of the triggering condition, retraining of a model. The example method also includes generating, by data grafting circuitry and in response to scheduling the retraining of the model, a context-relevant training data set based on a target context vector. The example method also includes retraining, by model training circuitry, the model using the context-relevant training data set to mitigate deterioration of performance of the model.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for two-stage application testing using generative artificial intelligence. An example method includes receiving, by communications hardware, an application and a first context setting and testing, by preliminary testing circuitry, the application using a preliminary testing model. The example method further includes generating, by advanced testing circuitry and using a scenario generation model, one or more first context-based testing scenarios based on the first context setting and testing, by the advanced testing circuitry, the application using an advanced testing model, where the advanced testing model uses the one or more first context-based testing scenarios.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for simultaneous multifactor authentication. An example method includes simultaneously receiving, by communications hardware and in response to a first authentication request, a plurality of authentication factors associated with an individual via a plurality of channels. The example method further includes performing, by an authentication engine, a verification operation that evaluates the plurality of authentication factors in parallel. The example method further includes authorizing, by the authentication engine, the one or more actions based on a successful outcome of the verification operation.

Abstract: An automated teller machine (“ATM”) receives, from a user computing device via a first wireless communication session, a unique transaction identifier (“UTN”). The ATM transmits the UTN to a bank computing system via a network. The ATM receives, from the bank computing system responsive to transmitting the UTN, transaction details and a first security code associated with the UTN. The ATM receives, from the user computing device via a second wireless communication session, a second security code. Responsive to determining that the first security code matches the second security code, the ATM processes a transaction in accordance with the transaction details.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for mitigating deterioration of modeling system performance. An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes determining, by context analysis circuitry and in response to detecting the occurrence of the triggering condition, a destination modeling solution based on a regime strategy for the modeling system. The example method also includes switching, by regime deployment circuitry and based on the regime strategy, from a source modeling solution to a destination modeling solution.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for reducing computational resource usage in a query-based data access system. An example method includes receiving and preprocessing a query request prior to execution of a query. Through preprocessing, a probability that execution of the query would yield a result set similar to at least a portion of results stored in a repeated query result repository is obtained. In response to the probability satisfying a probability threshold, a portion of results is retrieved from the repository. The example method further includes causing transmission of a response to the query request, the response comprising the portion of results.

Abstract: An automated teller machine (“ATM”) receives, from a user computing device via a first wireless communication session, a unique transaction identifier (“UTN”). The ATM transmits the UTN to a bank computing system via a network. The ATM receives, from the bank computing system responsive to transmitting the UTN, transaction details and a first security code associated with the UTN. The ATM receives, from the user computing device via a second wireless communication session, a second security code. Responsive to determining that the first security code matches the second security code, the ATM processes a transaction in accordance with the transaction details.

Abstract: A voice communications computer system (“VCCS”) receives a ring signal from a call device having unverified device identification data. The VCCS identifies an audible frequency component and an electronic frequency component of the ring signal. The VCCS identifies a device identification characteristic or a geographic location characteristic based on the audible or electronic frequency components, and identifies a stored identification characteristic associated with the device identification data. Based on a comparison of the stored identification characteristic with the device identification characteristic or geographic location characteristic, the VCCS generates fraud estimation data. In some cases, the VCCS generates call status data based on the fraud estimation data. The VCCS provides the fraud estimation data or the call status data to a user interface device, which is configured to display data or perform a call action for a call associated with the ring signal.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for managing operation of a distributed system that provides computer-implemented services. An example method includes collecting, via an out-of-band stream, sensor data from a plurality of temperature sensors positioned to infer temperatures of components of a distributed system. The example method further includes inferring, using the inferred temperatures, power consumption rates for performing respective actions with each of the components. The method further includes obtaining an action request and selecting, based on the inferred power consumption rates, a particular component of the components to perform an action to service the action request, the selection being made with a preference to reduce power consumption for performance of the action.

Abstract: An example method includes receiving and preprocessing a query request prior to execution of a query. Through preprocessing, a probability that execution of the query would yield a result set similar to at least a portion of results stored in a repeated query result repository is obtained. In response to the probability satisfying a probability threshold, a portion of results is retrieved from the repository. The example method further includes causing transmission of a response to the query request, the response comprising the portion of results.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for managing operation of a distributed system that provides computer-implemented services. An example method includes collecting, via an out-of-band stream, sensor data from a plurality of temperature sensors positioned to infer temperatures of components of a distributed system. The example method further includes inferring, using the inferred temperatures, power consumption rates for performing respective actions with each of the components. The method further includes obtaining an action request and selecting, based on the inferred power consumption rates, a particular component of the components to perform an action to service the action request, the selection being made with a preference to reduce power consumption for performance of the action.

Abstract: A voice communications computer system (“VCCS”) receives a ring signal from a call device having unverified device identification data. The VCCS identifies an audible frequency component and an electronic frequency component of the ring signal. The VCCS identifies a device identification characteristic or a geographic location characteristic based on the audible or electronic frequency components, and identifies a stored identification characteristic associated with the device identification data. Based on a comparison of the stored identification characteristic with the device identification characteristic or geographic location characteristic, the VCCS generates fraud estimation data. In some cases, the VCCS generates call status data based on the fraud estimation data. The VCCS provides the fraud estimation data or the call status data to a user interface device, which is configured to display data or perform a call action for a call associated with the ring signal.

Abstract: A voice communications computer system (“VCCS”) receives a ring signal from a call device having unverified device identification data. The VCCS identifies an audible frequency component and an electronic frequency component of the ring signal. The VCCS identifies a device identification characteristic or a geographic location characteristic based on the audible or electronic frequency components, and identifies a stored identification characteristic associated with the device identification data. Based on a comparison of the stored identification characteristic with the device identification characteristic or geographic location characteristic, the VCCS generates fraud estimation data. In some cases, the VCCS generates call status data based on the fraud estimation data. The VCCS provides the fraud estimation data or the call status data to a user interface device, which is configured to display data or perform a call action for a call associated with the ring signal.