Meeting security management
AssigneeOmnissa, LLC
InventorsROHIT PRADEEP SHETTY, RAMANANDAN NAMBANNOR KUNNATH
Life of this patent
Estimating the term…
Abstract
Disclosed are various embodiments for preventing unauthorized access to materials and topics for meeting invitations and meeting recording. Meeting data is identified for a meeting invitation or a meeting recording. The meeting data includes a set of participants, a time slot, and meeting location. A meeting security recommendation is generated to include a security label based on output data from a meeting security service machine learning engine that takes the meeting data as input. The meeting security recommendation is transmitted to a client device. A meeting security action is implemented using security recommendation feedback received from the client device.
Claims20
A system, comprising:
- at least one computing device comprising at least one processor and at least one memory;
- and
- machine-readable instructions stored in the memory that, when executed by the at least one processor, cause the at least one computing device to at least:
- identify meeting data for a meeting invitation, the meeting data comprising:
- a set of participants, a time slot, and meeting location data;
- provide the meeting data as input to a machine learning engine of a meeting security service to output data comprising at least one security label selected from a plurality of predefined security labels;
- generate, based at least in part on the output data from the machine learning engine of the meeting security service, a meeting security recommendation comprising the at least one security label for the meeting invitation;
- transmit, to a client device, the meeting security recommendation comprising the at least one security label for the meeting invitation;
- and
- implement a meeting security action identified based at least in part on security recommendation feedback received from the client device.
A method, comprising:
- identifying meeting data for a meeting, the meeting data comprising:
- a set of participants, a time slot, and meeting location data;
- generating, based at least in part on output data from a machine learning engine that takes the meeting data as input, a meeting security recommendation comprising at least one security label;
- transmitting, to a client device, the meeting security recommendation comprising the at least one security label;
- and
- implementing a meeting security action identified based at least in part on security recommendation feedback received from the client device.
A non-transitory, computer-readable medium, comprising machine-readable instructions that, when executed by at least one processor of at least one computing device, cause the at least one computing device to at least:
- identify meeting data for a meeting, the meeting data comprising:
- a set of participants, a time slot, and meeting location data;
- generate, based at least in part on output data from a meeting security service that takes the meeting data as input, a meeting security recommendation comprising at least one security label;
- transmit, to a client device, the meeting security recommendation comprising the at least one security label;
- and
- implement a meeting security action identified based at least in part on security recommendation feedback received from the client device.
Dependencies are inferred from the claim text.