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: 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: Bots are typically programmed to automate tasks and provide statistically expected results. However, a bot may malfunction and generate aberrant outputs. It is technically challenging to detect the aberrant outputs and determine whether the outputs are due to an error in how the bot processes inputs or because the bot has received unusual or unexpected input data. Apparatus and methods are provided for auto-determining why a bot has generated output outside expected results. An auto-correct bot will detect problems and auto-identify potential solutions, simulate those solutions and apply those solutions to remediate the malfunctioning bot.

Abstract: Various aspects of the disclosure relate to automated compliance verification systems for authenticating and verifying compliance associated with electronic transactions. A compliance verification platform may be an intermediary between an application for managing and/or recording transactions and a transaction processing platform for processing a transaction. Based on successful compliance verification and authentication, the compliance verification platform may send notifications to the transaction processing platform to process a transaction requested via the application.

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: Bots are typically programmed to automate tasks and provide statistically expected results. However, a bot may malfunction and generate aberrant outputs. It is technically challenging to detect the aberrant outputs and determine whether the outputs are due to an error in how the bot processes inputs or because the bot has received unusual or unexpected input data. Apparatus and methods are provided for auto-determining why a bot has generated output outside expected results. An auto-correct bot will detect problems and auto-identify potential solutions, simulate those solutions and apply those solutions to remediate the malfunctioning bot.

Abstract: A method using one or more mobile devices for transporting information from an automated teller machine (“ATM”) to a central server when the ATM does not support a network connection and, upon return of the one or more mobile devices to the ATM, updating the ATM may be provided. The method may include transporting electronic transaction data processed locally at the ATM, via a mobile device, to a location where a network connection between the mobile device and the central server may be established. When in a location including network connection, the method may include transmitting the electronic transaction data to the central server. When the mobile device is detected to have returned to be within the pre-determined range of the ATM, the method may include transmitting a data packet to the ATM, the data packet received from the central server, thereby updating the ATM of the transmittal.

Abstract: Bots are typically programmed to automate tasks and provide statistically expected results. However, a bot may malfunction and generate aberrant outputs. It is technically challenging to detect the aberrant outputs and determine whether the outputs are due to an error in how the bot processes inputs or because the bot has received unusual or unexpected input data. Apparatus and methods are provided for auto-determining why a bot has generated output outside expected results. An auto-correct bot will detect problems and auto-identify potential solutions, simulate those solutions and apply those solutions to remediate the malfunctioning bot.

Abstract: Systems for using a digital replication of a series transaction blockchain to identify web resource sources associated with a given transaction. Transactions may include web resources. The web resources may be sourced to web sources. The digital replication may enable tracing and mapping of web resources to their corresponding web sources. Using the digital mapping of web resource sources, a schematic lineage may be created of the web resource sources. The schematic lineage may be used to track web resources, populate lost data points and/or to create a three-dimensional view of the mapping.

Abstract: A system is provided that selectively routes data packets along a secure pathway from a source node to a destination node. The system may avoid target routing devices or regions that may be associated with compromised data security or otherwise be associated with a threshold risk of a data breach. The system may configure intermediary nodes to route data packet over the alternative data routing pathway. The system may formulate a secure header for a data packet that instructs a source node to forward the data packet to a target intermediary node. The secure header may replace a default header of the data packet and direct the data packet from the source node to the target intermediary node.

Abstract: A system for facilitating offline processing of electronic transactions at an ATM when the ATM does not support a network connection may be provided. The system may include a mobile device configured to store an updatable account balance of a personal account associated with a user of the mobile device and transaction data associated with a plurality of transactions executed via the mobile device. The system may include the ATM being configured to operate in an offline processing mode when the network connection is unsupported. The offline processing mode may include the ATM receiving a transaction request and account data from the mobile device. The ATM may be configured to authenticate or deny the executing of the transaction request based on a predetermined threshold of transaction locations positioned at a distance greater than or less than a pre-determined distance from the ATM.

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

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: 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: A system for facilitating offline processing of electronic transactions at an ATM when the ATM does not support a network connection may be provided. The system may include a mobile device configured to store an updatable account balance of a personal account associated with a user of the mobile device and transaction data associated with a plurality of transactions executed via the mobile device. The system may include the ATM being configured to operate in an offline processing mode when the network connection is unsupported. The offline processing mode may include the ATM receiving a transaction request and account data from the mobile device. The ATM may be configured to authenticate or deny the executing of the transaction request based on a predetermined threshold of transaction locations positioned at a distance greater than or less than a pre-determined distance from the ATM.