Abstract: An apparatus may comprise a memory communicatively coupled to a processor. The processor may be configured to receive a request to perform multiple data processing operations and determine multiple sub-dialogues corresponding to the request. The sub-dialogues are part of a plurality of IVR operations. The processor may be further configured to route the request to a microservice of the microservices based at least in part upon the sub-dialogues. The microservice may be configured to fulfill the request. The processor may generate a response to the request associated with the microservice, update publishing commands in accordance with one or more rules and policies in response to generating the response, and publish the first microservice. The publishing commands associated with the microservice may be updated in isolation from the rest of the microservices.

Abstract: A system is provided for computing and tracking resource state changes using a multichain distributed register technology. In particular, the system may comprise an index distributed register that may be stored across a plurality of distributed register nodes. The index distributed register may comprise one or more resource-specific data records that may in turn make up a resource-specific distributed register originating from the index distributed register. The resource-specific distributed register may comprise an initial data record that defines the attributes of the resource, and one or more subsequent data records that may be linked with the initial data record to reflect changes in the state of the resource to be tracked. Based on the data within each of the resource-specific distributed register, the system may compute resource analysis scores and/or trigger real-time user alerts.

Abstract: The present disclosure details systems, computer program products, and methods for machine engine analysis of network interaction data to identify conflicts. This involves the activation of an intelligence engine that connects to a backend data engine to access a database of conflict of interest (COI) datasets. The intelligence engine analyzes incoming applicant data and the COI datasets to identify potential conflicts. The identified conflicts are validated using stochastic metrics via a rules engine. A quantifiable probability metric is calculated, representing the probability of conflict from both organizational and individual perspectives. Based on the potential conflict of interest, a recommendation is generated that aligns with the calculated probability. The system then provides recommendations via API or on a user interface that is communicatively coupled to the processor.

Abstract: A method of using an Artificial Intelligence (AI) self-governing infrastructure design, is provided. The method provides an AI-aware, self-governing, infrastructure design which prompts the design to requisition constituent components required for a build-out of the design. In response to the prompting, the method may include using the design to initiate a plurality of tickets. The plurality of tickets procures constituent components and confirms that the initiated tickets are sufficient to place the design in a condition of viability. Following the fulfillment of the tickets, the infrastructure self-certifies operability and seeks end-user acceptance of the operability of the build-out. The design is maintained as decision-making capable, and further configured to selectively receive human intervention. The human intervention enables design customization.

Abstract: Arrangements for detecting unauthorized activity based on input method analysis and monitoring are provided. In some aspects, identity information associated with a user may be received and be stored. An input may be received from a computing device of the user. An input pattern of the received input may be determined. Using a machine learning model, the input pattern of the received input may be compared to input patterns of humans and input patterns of machines. Based on the comparison, it may be determined whether the user is a human user or a non-human user. Responsive to determining that the user is a non-human user, a request may be transmitted to the user to provide increased authentication credentials. Responsive to determining that the user is a human user, an identity of the user may be verified by comparing the input pattern of the received input to the stored identity information.

Abstract: A method for transferring a good or service from a d+b wallet-supporting vendor to a user registered with a digital+bitcoin (d+b) wallet is provided. The user may be registered with a cryptocurrency provider and a value allocation. The method may receive, at the vendor, a user request configured for a cryptocurrency-based transaction. The method may transmit, a consent to transact the cryptocurrency-based transaction and, in response to the transmitting of the consent to transact, receive, from the user device, a Quick Response (QR) code. The code specifies: a) an amount of cryptocurrency; and b) a product or a service to be exchanged for the amount of cryptocurrency. The method may also receive a biometric characteristic that confirms the transaction. The method may then receive the amount of cryptocurrency via the d+b wallet, and transmit a confirmation of receipt of the cryptocurrency.

Abstract: A method for transferring goods from a digital+bitcoin (d+b) stored value transaction instrument-supporting vendor to a user device, or a device user, such as a d+b stored value transaction instrument is provided. The device may be registered with a cryptocurrency provider and a value allocation. The method may include receiving a user request configured for a cryptocurrency-based transaction; transmitting a consent to transact the cryptocurrency-based transaction and, in response to the transmitting, receiving, from the user device, a Quick Response (QR) code. The code specifies, at least: a) an amount of cryptocurrency; and b) a product or a service to be exchanged for the amount of cryptocurrency. The method may also receive a biometric characteristic that confirms the transaction. The method may then receive the amount of cryptocurrency via the d+b stored value transaction instrument, and transmit a confirmation of receipt of the cryptocurrency.

Abstract: A method for transferring a good or service from a d+b wallet-supporting vendor to a user registered with a digital+bitcoin (d+b) wallet is provided. The user may be registered with a cryptocurrency provider and a value allocation. The method may receive, at the vendor, a user request configured for a cryptocurrency-based transaction. The method may transmit, a consent to transact the cryptocurrency-based transaction and, in response to the transmitting of the consent to transact, receive, from the user device, a Quick Response (QR) code. The code specifies: a) an amount of cryptocurrency; and b) a product or a service to be exchanged for the amount of cryptocurrency. Prior to transferring the value, the method may flag the transfer of the value as suspicious when the QR code received by the user has been identified as a fraudulent QR code. The flagging may terminate the transfer.

Abstract: A system prevents incorrect deployment of computer code in remote enterprise servers. The system includes a source code repository for housing computer code received from developers and housing software that maintains the code and develops version control information (VCI) for same. The system includes a continuous integration/continuous deployment (CICD) pipeline orchestrator and arranges deployment of the computer code by determining servers to which the code will be deployed. A metatag affixing engine and database creates metatag information corresponding to the computer code and stores the metatag information. The metatag information qualifies the code for deployment at the servers, as follows. A code management system schedules deployment. Prior to deployment, each of the servers reads the metatag implemented on the code and compares the metatag on the code to determine whether the metatag matches the metatag stored at the database. When the metatags matches at the server, the computer code is deployed.

Abstract: A computer system for integrating trading account security with associate investment policy (AIP) governance is provided. The system includes a processor and a receiver. A received trade request may include an associate social security number, an associate name, a security name, a last security purchase data, and a broker dealer name. The employee may be a private side employee. The processor may use a series of containers in electronic communication with a database or database engine to determine that the trade request is industry compliant and employer regulations compliant. When the trade request is determined to be non-compliant, then the processor may electronically message or e-mail the employee 1) a trade denial and 2) insider trading mitigation messages. Following a determination that the trade request is fully compliant; the processor may transmit the trade request to an employer trading platform and prompt the associate to execute the trade request.

Abstract: A system for integrating trading account security with associate investment policy (AIP) governance is provided, including a processor and a receiver for receiving an associate trade request. The trade request may include an associate social security number and name, a name of a security, a last security purchase data, the last data for the security, and a broker dealer name. The processor may determine that the employee is a private side employee and then use a series of containers in electronic communication with a database or engine to determine industry and employer regulations compliance, after which the processor may transmit the request to an employer trading platform and may include an instruction to allow executing the trade request within a pre-determined time period and prompting the associate with a selectable option to execute the trade request.

Abstract: A system for integrating trading account security with associate investment policy (AIP) governance is provided. The system includes a processor, a receiver, and a series of containers. The receiver may receive an associate trade request including an associate social security number (SSN), an associate name, a name of a security to which the trade request is directed, a last security purchase data, the last security purchase data associated with the security, and a broker dealer name. The employee may be a private side employee. The system may include a series of containers for storing microservices. The containers communicate with a database engine. The trade request may be industry compliant and employer regulations compliant. The processor may transmit a fully compliant trade request to an employer platform. Following receipt of a trade request confirmation from the employer platform, the associate trading platform may execute the trade request.

Abstract: A system is provided for an artificial intelligence-based engine for generating recommendations for resource allocation. In particular, the system may comprise an artificial intelligence module configured to access one or more data sources containing resource data associated with one or more users. Based on the resource data, the system may identify a group of analogous users with respect to a specific user. The system may then generate one or more recommendations for a resource allocation associated with the user. The one or more recommendations may then be presented on a graphical interface of a user device associated with the user. In this way, the system may provide an AI-driven method for efficient allocation of resources.