Abstract: A method for monitoring network activity includes initiating a training phase by a machine learning (ML) server. Data associated with normal network traffic through the ML server during the training phase is collected. A classification model is generated based on the collected data. The ML server switches the training phase to an active phase. An outbound request is received during the active phase. Whether the outbound request is an anomalous request is determined based on the classification model.

Abstract: Methods and devices are provided relating to privately communicating information from a smart speaker to a person's headset or other mobile device over a communication channel rather than audibly or visually outputting the information at the smart speaker. This may be used with smart speakers installed in public or common areas. When the smart speaker comes into possession of information intended only for a specific individual, the smart speaker does not necessarily output the information via its loudspeaker in a public manner. Rather, a private communication channel may be established between the smart speaker and the headset or other device of the person. The information may then be transmitted to the person's headset in a private manner rather than being audibly and/or visually outputted by the smart speaker.

Abstract: Methods and devices are provided relating to taking an action in response to determining that a person who is present in the vicinity of the device, such as a smart speaker, is not authorized to be present. In an aspect, the electronic device receives the notification and a topic identifier associated with the notification. Information identifying persons located in the vicinity of the electronic device may be received. The device may then receive and/or determine information identifying at least one person located within the vicinity who is not authorized, based on the topic identifier, to be present in the vicinity when the notification is to be outputted. The device generates an output signal indicating receipt of the notification and that there is at least one person present in the vicinity who is not authorized to be present when the notification is to be outputted.

Abstract: A method for monitoring network activity includes initiating a training phase by a machine learning (ML) server. Data associated with normal network traffic through the ML server during the training phase is collected. A classification model is generated based on the collected data. The ML server switches the training phase to an active phase. An outbound request is received during the active phase. Whether the outbound request is an anomalous request is determined based on the classification model.

Abstract: Systems, methods, and software can be used to share content. In some aspect, an enterprise mobility management (EMM) server receives a command for provisioning a user for an enterprise service at an identity provider (IDP). The EMM server sends a user provisioning request to the IDP. The user provisioning request includes a user identity attribute and a user entitlement attribute, the user identity attribute identifies the user, and the user entitlement attribute indicates an access level associated with the user for the enterprise service. The EMM server receives a user provisioning response from the IDP. The user provisioning response indicates that the user is provisioned at the IDP for the enterprise service.

Abstract: Systems, methods, and software can be used to share content. In some aspect, an enterprise mobility management (EMM) server receives a command for provisioning a user for an enterprise service at an identity provider (IDP). The EMM server sends a user provisioning request to the IDP. The user provisioning request includes a user identity attribute and a user entitlement attribute, the user identity attribute identifies the user, and the user entitlement attribute indicates an access level associated with the user for the enterprise service. The EMM server receives a user provisioning response from the IDP. The user provisioning response indicates that the user is provisioned at the IDP for the enterprise service.