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公开(公告)号：US20240144198A1
公开(公告)日：2024-05-02
申请号：US17978592
申请日：2022-11-01
发明人： Gilbert M. Gatchalian , Brian Christman , Kamal D. Sharma , Karthik Rajagopalan , Kevin A. Delson , Ronnie Rosseland , Yassine Touahri , Amer Ali
IPC分类号： G06Q10/10 , G06F16/35 , G06F40/279
CPC分类号： G06Q10/1097 , G06F16/35 , G06F40/279
摘要： 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.
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公开(公告)号：US20240146765A1
公开(公告)日：2024-05-02
申请号：US17978274
申请日：2022-11-01
发明人： Gilbert Gatchalian , Brian Christman , Kamal D. Sharma , Karthik A. Rajagopalan , Kevin A. Delson , Yassine Touahri , Amer Ali , Robert R. Rosseland
IPC分类号： H04L9/40
CPC分类号： H04L63/164
摘要： 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.
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公开(公告)号：US20240095383A1
公开(公告)日：2024-03-21
申请号：US17946159
申请日：2022-09-16
发明人： Gilbert Gatchalian , Kamal D. Sharma , Karthik Rajagopalan , Kevin A. Delson , Robert R. Rosseland , Yassine Touahri , Amer Ali , Jyothishwar Reddy Sama , Srinivasulu Bodapati , Brian Christman
CPC分类号： G06F21/6218 , G06F21/554 , G06F21/602
摘要： 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.
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公开(公告)号：US20240113978A1
公开(公告)日：2024-04-04
申请号：US17957854
申请日：2022-09-30
发明人： Amer Ali , Brian Daniel Christman , Kamal D Sharma , Gilbert Gatchalian , Karthik Rajagopalan , Kevin A. Delson , Robert Ronald Rosseland, JR. , Yassine Touahri
IPC分类号： H04L47/2425 , H04L43/16
CPC分类号： H04L47/2425 , H04L43/16
摘要： 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.
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公开(公告)号：US20240113977A1
公开(公告)日：2024-04-04
申请号：US17957848
申请日：2022-09-30
发明人： Amer Ali , Brian Daniel Christman , Kamal D. Sharma , Gilbert Gatchalian , Karthik Rajagopalan , Kevin A. Delson , Robert Ronald Rosseland, JR. , Yassine Touahri , Jyothishwar Reddy Sama , Zaheeruddin Mohammed
IPC分类号： H04L47/2425 , H04L41/16
CPC分类号： H04L47/2425 , H04L41/16
摘要： 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.
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