SECURE REMOTE SUPPORT OF SYSTEMS DEPLOYED IN A PRIVATE NETWORK

    公开(公告)号:US20230088489A1

    公开(公告)日:2023-03-23

    申请号:US17478165

    申请日:2021-09-17

    Applicant: KYNDRYL, INC.

    Abstract: A computer-implemented method includes: connecting, by a computing device, to a database using an outbound connection, wherein the computing device is an information technology (IT) product in a private network and the database is outside the private network; receiving, by the computing device, a response from the database, the response including a command; executing, by the computing device, the command; and sending, by the computing device, result data to the database, wherein the result data is data that results from executing the command on the computing device.

    Virtual server geolocation detection

    公开(公告)号:US11601337B1

    公开(公告)日:2023-03-07

    申请号:US17514097

    申请日:2021-10-29

    Applicant: Kyndryl, Inc.

    Abstract: Geographic location of a virtual server is predicted by determining a baseline geographic location of a virtual server of a computing environment, where the determining uses triangulation processing and known locations of multiple reference servers of the computing environment. Further, network communication-related data for communications between the multiple reference servers across a network is obtained, and a machine learning model is generated to predict an actual geographic location of the virtual server using, at least in part, the baseline geographic location of the virtual server and the obtained network communication-related data. The machine learning model is used to predict a current geographic location of the virtual server based, at least in part, on current network communication-related data for communications between the virtual server and one or more of the reference servers.

    DATA PROTECTION AND RECOVERY
    4.
    发明申请

    公开(公告)号:US20220342774A1

    公开(公告)日:2022-10-27

    申请号:US17239635

    申请日:2021-04-25

    Applicant: KYNDRYL. INC.

    Abstract: Generating a data protection and recovery data backup option by identifying static and runtime metadata for a computing application, determining application criticality of the computing application according to the static metadata using a first machine learning model, determining a data backup option for the computing application according to application criticality and the runtime metadata, using a second machine learning model.

    Data protection and recovery
    5.
    发明授权

    公开(公告)号:US11567835B2

    公开(公告)日:2023-01-31

    申请号:US17239635

    申请日:2021-04-25

    Applicant: KYNDRYL, INC.

    Abstract: Generating a data protection and recovery data backup option by identifying static and runtime metadata for a computing application, determining application criticality of the computing application according to the static metadata using a first machine learning model, determining a data backup option for the computing application according to application criticality and the runtime metadata, using a second machine learning model.

    Cognitive switching logic for multiple knowledge domains

    公开(公告)号:US11263527B2

    公开(公告)日:2022-03-01

    申请号:US16808877

    申请日:2020-03-04

    Applicant: Kyndryl, Inc.

    Abstract: A method provides a set of predicted responses to a user. The method includes receiving a message from a user, the message having natural language information. The method includes processing, using cognitive switching logic (CSL), the natural language information and information from previous messages from the user. The method includes identifying, using CSL, a context of the natural language information based on the information from the previous messages. The method includes identifying, using CSL, at least one knowledge domain which contains a response to the message, based on the identified context and on user persona information. The method includes retrieving a response from each identified knowledge domain. The method further includes, in response to retrieving more than one response, transmitting feedback to CSL to refine identifying the at least one knowledge domain until only one response is retrieved. The method further includes presenting the one response to the user.

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