Abstract: Systems and methods for multi-dimensional voice-based digital authentication are provided.

Abstract: A system is provided for secure cross partition access and computing device recovery. In particular, the system may comprise a computing device that includes a non-transitory memory or storage device comprising one or more partitions. A user may attempt to log into the device and get locked out of the primary partition of the device after a threshold number of unsuccessful login attempts. The additional partitions of the computing device may store a portion of the authentication credential needed to access the primary partition and prompt the user using an item from the user data stored in a user-specific database. Upon detecting that the user has successfully accessed a threshold number of partitions and/or successfully provided responses to the prompts from a threshold number of partitions, the system may unlock and grant access to the locked partitions.

Abstract: Systems and methods for multidimensional transaction pattern tracking and prediction are provided. A method includes detecting a series of transactions associated with a remote user device and generating a multidimensional transactional profile. Generating the multidimensional transactional profile may involve a first ML model generating a first score representing a first dimension, and a second ML model generating a second score representing a second dimension. The method also includes selecting weightings for the scores, and combining the weighted scores to create the multidimensional transactional profile. The method also includes generating a list of recommended transactional activities and a list of flagged transactional activities, transmitting the list of recommended transactional activities to the remote user device, and detecting additional transactions originating from the account associated with the remote user device.

Abstract: Systems, computer program products, and methods are described herein for machine learning-based metadata collection and parameterized graph modeling from communication channels. The present disclosure comprises a communication interaction subsystem (CIS) configured to receive requests from a user input device to query network traffic data associated with a plurality of devices. The request comprises a factor set and a correlation criteria. The CIS analyzes the network traffic data based on at least the request and determines a subset of the plurality of devices based on at least the request. The system also comprises a parameterized graph modeling subsystem (PGMS) operatively coupled to the CIS, which is configured to generate a data traffic topography map associated with the subset of the plurality of devices and transmit control signals configured to cause the user input device to display the data traffic topography map.

Abstract: Methods are provided to secure a mutual Transport Layer Security (TLS) verification between a client computer and a server computer, using an authorized viewer. Methods may include intercepting a file at the authorized viewer. Methods may include using a content inspection Artificial Intelligence (AI) module to inspect the data. Methods may include preventing the transmission of malicious data to a server computer.

Abstract: A system is provided for secure cross partition access and computing device recovery. In particular, the system may comprise a computing device that includes a non-transitory memory or storage device comprising one or more partitions. A user may attempt to log into the device and get locked out of the primary partition of the device after a threshold number of unsuccessful login attempts. The additional partitions of the computing device may store a portion of the authentication credential needed to access the primary partition and prompt the user using an item from the user data stored in a user-specific database. Upon detecting that the user has successfully accessed a threshold number of partitions and/or successfully provided responses to the prompts from a threshold number of partitions, the system may unlock and grant access to the locked partitions.

Abstract: Provided is a system for orchestration of a mainframe computing environment. The system may include a mainframe. The system may include components such as a computer processor, a controller, a computing layer, a storage layer, and a network layer. The computer processor may run on the mainframe. The computer processor may utilize an application programming interface (API) to stitch the mainframe with the computing layer, the storage layer, and the network layer. An infrastructure as code (IaC) format may stitch together the components of the system. The computer processor may use the controller to utilize the IaC format to orchestrate the mainframe computing environment. The computer processor may optimize the utilization of the mainframe computing environment.

Abstract: Systems, computer program products, and methods for identifying network vulnerability via network component functionality are provided. The method includes receiving incident indicator communication(s) relating to an incident. The incident indicator communication(s) include information relating to the incident. The method also includes determining network component(s) affected by the incident based on the incident indicator communication(s). The method further includes monitoring metric(s) relating to the network component(s) relating to the incident. The method still further includes determining that a new incident is occurring or expected to occur based on a change in at least one of the metric(s). The new incident has a same incident type as the incident. The method also includes causing a transmission of a new incident alert indicating that the new incident is occurring or expected to occur.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for proactive resiliency, redundancy and security remediation across a network based on dynamic analysis of technology applications. The invention is configured for dynamic and continuous processing of network activity data of a distributed network for proactively identifying network redundancy prior to network activity failure. The invention involves determining whether the entity communication network comprises at least one first redundant technology application associated with the first technology application such that the at least one first redundant technology application renders at least one processing activity of the first technology application resilient.

Abstract: Arrangements for dynamic identity confidence modeling are provided. In some aspects, first identity information associated with the user may be received. An identity confidence model associated with the user indicating a level of confidence that the user is authentic may be generated. User activity data associated with transactions and interactions of the user may be received. The user activity data may include temporal information associated with the user transacting and interacting with an entity at one or more touchpoints. Second identity information associated with the user may be extracted and compared to the first identity information using machine learning. One or more anomalies may be identified and authentication information associated with the identified one or more anomalies may be requested. The identity confidence model associated with the user may be automatically and continuously updated based at least in part on the comparison.

Abstract: Apparatus and methods for enhancing a videotelephony conference experience by generating dynamic audio channels. Audio outputs may be provided to listeners over different channels. The multiple channels may simulate live, in-person conversation with conference participants. For example, listeners may also conduct separate, private conversations with other participants of the conference without leaving the general conference conversation. The videotelephony conference interface may coordinate presentation of participants to reflect the audio channels provided to a listener. For example, actively speaking participants may be positioned in different regions of the interface.

Abstract: A bot automatically compiles transaction information for a consumer from merchants that sell products in various categories and merchants that sell products in only a single category. The bot categorizes the consumer's purchases from the merchants and determines percentages of consumer spending in each category. The bot may obtain a category for purchases from merchants selling a single category of items based on a merchant identifier such as a merchant code. For other merchants, the bot may obtain category information from the merchant or from an analysis of a category code, or a product or service description or identifier. The categories and percentages of the consumer's purchases may be provided by the bot to the consumer or to a third party. The bot may provide special offers and promotions to a consumer based on the compiled category information and percentage spending by the consumer by category.

Abstract: Systems and methods for multidimensional transaction pattern tracking and prediction are provided. A method includes detecting a series of transactions associated with a remote user device and generating a multidimensional transactional profile. Generating the multidimensional transactional profile may involve a first ML model generating a first score representing a first dimension, and a second ML model generating a second score representing a second dimension. The method also includes selecting weightings for the scores, and combining the weighted scores to create the multidimensional transactional profile. The method also includes generating a list of recommended transactional activities and a list of flagged transactional activities, transmitting the list of recommended transactional activities to the remote user device, and detecting additional transactions originating from the account associated with the remote user device.

Abstract: Systems and methods for multi-dimensional voice-based digital authentication are provided.

Abstract: A bot automatically compiles transaction information for a consumer from merchants that sell products in various categories and merchants that sell products in only a single category. The bot categorizes the consumer's purchases from the merchants and determines percentages of consumer spending in each category. The bot may obtain a category for purchases from merchants selling a single category of items based on a merchant identifier such as a merchant code. For other merchants, the bot may obtain category information from the merchant or from an analysis of a category code, or a product or service description or identifier. The categories and percentages of the consumer's purchases may be provided by the bot to the consumer or to a third party. The bot may provide special offers and promotions to a consumer based on the compiled category information and percentage spending by the consumer by category.

Abstract: Provided is a system for orchestration of a mainframe computing environment. The system may include a mainframe. The system may include components such as a computer processor, a controller, a computing layer, a storage layer, and a network layer. The computer processor may run on the mainframe. The computer processor may utilize an application programming interface (API) to stitch the mainframe with the computing layer, the storage layer, and the network layer. An infrastructure as code (IaC) format may stitch together the components of the system. The computer processor may use the controller to utilize the IaC format to orchestrate the mainframe computing environment. The computer processor may optimize the utilization of the mainframe computing environment.

Abstract: Systems, computer program products, and methods are described herein for network traffic routing and load balancing in an electronic network. The present disclosure is configured to identify, by an application layer, at least one website access request by a user account, wherein a website access request comprises a website identifier; transmit the website access request to a traffic routing layer; identify, by the traffic routing layer, a plurality of potential websites; determine, by the traffic routing layer, whether a routing identifier is present for the user account and in response to determining the routing identifier, pin the user account to a pinned website of the potential websites based on the routing identifier; and determine, by the traffic routing layer, whether the pinned website comprises an up attribute or down attribute, and to direct the website access request based on at least this up or down attribute.

Abstract: Systems, computer program products, and methods are described herein for network traffic discovery and analysis. The present invention is configured to capture data traffic across network ports in a computing environment; retrieve source code from code repositories; determine that the data traffic and the source code are associated with application programming interface (API) traffic; determine a first API associated with the API traffic; determine, using a machine learning (ML) subsystem, whether the first API meets supervisory requirements; and invoke a remediation protocol in an instance when the first API does not meet supervisory requirements.

Abstract: Apparatus and methods for enhancing a videotelephony conference experience by generating dynamic audio channels. Audio outputs may be provided to listeners over different channels. The multiple channels may simulate live, in-person conversation with conference participants. For example, listeners may also conduct separate, private conversations with other participants of the conference without leaving the general conference conversation. The videotelephony conference interface may coordinate presentation of participants to reflect the audio channels provided to a listener. For example, actively speaking participants may be positioned in different regions of the interface.

Abstract: Systems, computer program products, and methods are described herein for network traffic discovery and routing. The present invention is configured to capture data traffic across network ports in a computing environment; retrieve source code from code repositories; determine that the data traffic and the source code are associated with application programming interface (API) traffic; determine one or more end-point devices associated with the API traffic; determine a first API capable of processing the API traffic, wherein the first API meets supervisory requirements; and transmit a notification to the one or more end-point devices, wherein the notification comprises a recommendation to use the first API to process the API traffic.