Microsoft Technology Licensing, LLC

Paras Pankaj Kapadia

Hani Saliba

Michal Krzysztof Piaseczny

Amog Rajenderan

Non-limiting examples of systems, methods, and devices for automatically generating security labels are disclosed herein. In an implementation, generation of security labels is automated to enforce security policies and prevent data leaks. For example, characteristics identified in telemetry data (e.g., collaborators, workgroups, internal users, external users, file content, terms etc.) may be used to automatically generate sensitivity labels and corresponding encryption policies. In another implementation, a user interface may be rendered comprising descriptions of the generated security labels that allow for selection of the labels, which results in the implementation of the security label.

Automatic generation of security labels to apply encryption

The performance of a cloud-based software product over time is determined by collecting telemetry data representing whether different features of online sessions of the software product are operating properly. The telemetry data represents shared performance metrics of the software product across different participants and components participating in an online session. The collected telemetry data is correlated with session identifiers identifying the online session from which the telemetry data was collected. The telemetry data for an online session is processed to establish a unit of failure when the telemetry data indicates that the online session operated outside of predefined performance metrics. The unit of failure is a function of vetoes applied to a candidate list of online sessions indicating that the online session may have problems. The performance of the software product may be determined as a function of the unit of failure over time.

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Paras Pankaj Kapadia