GENERATING CONTEXTUAL COMPLIANCE POLICIES

    公开(公告)号:US20220385697A1

    公开(公告)日:2022-12-01

    申请号:US17818023

    申请日:2022-08-08

    Applicant: VMWARE, INC.

    Abstract: Examples of generating contextual compliance policies are described. A meeting invitation can be created by a meeting organizer. The meeting can have compliance rules associated therewith. A compliance policy that facilitates enforcement of the compliance rules during the meeting can be transmitted to attendee client devices and enforced by a management component running on the client devices.

    SECURING CONFIDENTIAL CONTENT IN A VIRTUAL MEETING

    公开(公告)号:US20220377056A1

    公开(公告)日:2022-11-24

    申请号:US17327137

    申请日:2021-05-21

    Applicant: VMware, Inc.

    Abstract: Systems and methods are described for securing confidential content in a virtual meeting. In an example, a host can create a meeting agenda that identifies attendees and access restrictions for the meeting. A server can generate encryption keys corresponding to different confidentiality levels of content identified in the agenda. The encryption keys can be provided to user devices of the attendees based on the access permissions of the attendees. As the virtual meeting takes place, the server can encrypt confidential portions of the content stream for the meeting using the encryption keys. In an example, the server can also apply a machine learning algorithm to identify any confidential content in the content stream not previously identified. The server can encrypt additional confidential content where appropriate using encryption keys corresponding to the confidentiality level of the content.

    ROLE-BASED REDACTION OF CONTENT
    6.
    发明申请

    公开(公告)号:US20240378314A1

    公开(公告)日:2024-11-14

    申请号:US18315759

    申请日:2023-05-11

    Applicant: VMware, Inc.

    Abstract: Disclosed are various embodiments for redacting or modifying content in documents that are provided to users. A user's clearance level can be determined by analyzing the role of the user within the enterprise. A redaction level can be determined from the clearance level. A document or other content can be modified or redacted based upon the redaction level.

    3D printer device management using machine learning

    公开(公告)号:US11669772B2

    公开(公告)日:2023-06-06

    申请号:US16674551

    申请日:2019-11-05

    Applicant: VMWARE, INC.

    Inventor: Ravish Chawla

    CPC classification number: G06N20/00 B33Y50/00 G06N5/04 H04L63/101

    Abstract: Systems and methods for 3D printer management can allow or reject printing of an object based on a model that is trained with machine learning. In one example, the model classifies the object according to object type. The object type can be compared against a list, such as a whitelist or blacklist, to determine whether to block the object from printing. The lists can be specific to users, such as based on an organizational group to which the user belongs. A print server can apply the model prior to forwarding the object to a 3D printer for printing. Both the models and the lists can evolve based on machine learning, such as based on which print decisions receive override from administrators.

    AUTOMATED CONTEXT-SPECIFIC SPEECH-TO-TEXT TRANSCRIPTIONS

    公开(公告)号:US20230005472A1

    公开(公告)日:2023-01-05

    申请号:US17366169

    申请日:2021-07-02

    Applicant: VMware, Inc.

    Abstract: Disclosed are various approaches for generating a text transcript of a soundtrack. The soundtrack can correspond to an event in a conferencing service. Language models can be trained on data that is specific to organizations, users within the organization, and metadata associated with an agenda for the event. The metadata can include texts, attachments, and other data associated with the event. The language models can be arranged into a convolutional neural network and output a text transcript. The text transcript can be used to retrain the language models for subsequent use.

    3D PRINTER DEVICE MANAGEMENT USING MACHINE LEARNING

    公开(公告)号:US20210133625A1

    公开(公告)日:2021-05-06

    申请号:US16674551

    申请日:2019-11-05

    Applicant: VMWARE, INC.

    Inventor: Ravish Chawla

    Abstract: Systems and methods for 3D printer management can allow or reject printing of an object based on a model that is trained with machine learning. In one example, the model classifies the object according to object type. The object type can be compared against a list, such as a whitelist or blacklist, to determine whether to block the object from printing. The lists can be specific to users, such as based on an organizational group to which the user belongs. A print server can apply the model prior to forwarding the object to a 3D printer for printing. Both the models and the lists can evolve based on machine learning, such as based on which print decisions receive override from administrators.

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