Abstract: Systems, devices, and methods for machine learning based processing of service requests is described. A user device may send a service request to a service management platform. Based on keywords in the request and a knowledge base, the service management platform may send indications of one or more prospective solutions to the user device. The service management platform may update the knowledge base based on success or failure of the prospective solution.

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 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.

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: 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.