Abstract: In an implementation, a non-transitory machine-readable storage medium stores instructions that when executed by a processor, cause the processor to allocate classifier data structures to persistent memory, read a number of categories from a set of training data, and populate the classifier data structures with training data including training-based, category and word probabilities calculated based on the training data.

Abstract: Example systems may relate to component failure prediction. A non-transitory computer readable medium may contain instructions to analyze a plurality of features corresponding to a component of a system. The non-transitory computer readable medium may further contain instructions to determine which of the plurality of features to use to model a failure of the component. The non-transitory computer readable medium may contain instructions to generate a plurality of models to model the failure of the component and assemble the plurality of models into a single model for predicting component failure. The non-transitory computer readable medium may further contain instructions to extract data associated with a component failure predicted by the single model and correlate the data associated with the predicted component failure with the single model.

Abstract: Examples disclosed herein relate to acquisition of a device fingerprint from an instance of a client application. Examples include association of a target device fingerprint, based on device context information, with a target user account in a remote service, and acquisition of an application device fingerprint from an unpaired instance of a client application.

Abstract: In one example, an electromechanical device includes a removable component comprising an electronic identification tag. The apparatus also includes a plurality of tag readers disposed at a plurality of sectors in the apparatus to detect the electronic identification tag and signal strengths associated with the detected electronic identification tag, and send the signal strengths to a tracking system.

Abstract: Example systems may relate to component failure prediction. A non-transitory computer readable medium may contain instructions to analyze a plurality of features corresponding to a component of a system. The non-transitory computer readable medium may further contain instructions to determine which of the plurality of features to use to model a failure of the component. The non-transitory computer readable medium may contain instructions to generate a plurality of models to model the failure of the component and assemble the plurality of models into a single model for predicting component failure. The non-transitory computer readable medium may further contain instructions to extract data associated with a component failure predicted by the single model and correlate the data associated with the predicted component failure with the single model.

Abstract: In one example, an electromechanical device includes a removable component comprising an electronic identification tag. The apparatus also includes a plurality of tag readers disposed at a plurality of sectors in the apparatus to detect the electronic identification tag and signal strengths associated with the detected electronic identification tag, and send the signal strengths to a tracking system.

Abstract: In an implementation, a non-transitory machine-readable storage medium stores instructions that when executed by a processor, cause the processor to allocate classifier data structures to persistent memory, read a number of categories from a set of training data, and populate the classifier data structures with training data including training-based, category and word probabilities calculated based on the training data.

Abstract: Examples disclosed herein relate to acquisition of a device fingerprint from an instance of a client application. Examples include association of a target device fingerprint, based on device context information, with a target user account in a remote service, and acquisition of an application device fingerprint from an unpaired instance of a client application.

Abstract: According to an example, a method for virtual private network (VPN) access control includes receiving a request from an application on a user device to access a remote computer network asset, and determining, by a processor, an authorization of the application to access the remote computer network asset based on a policy. In response to a determination that the application is authorized to access the remote computer network asset, the method includes setting a VPN connection between the user device and a remote computer network including the remote computer network asset, and routing traffic from the application to the remote computer network asset via the VPN. In response to a determination that the application is not authorized to access the remote computer network asset, the method includes routing traffic from the application to a network different than the remote computer network.

Abstract: Examples of authorizing application access to a virtual private network are disclosed. In one example implementation according to aspects of the present disclosure, a method may include connecting, by a computing system, electronically to a virtual private network (VPN) by sending authentication credentials, and receiving, by the computing system, a set of application policies from an application policy database in the VPN. The method may further include determining, by the computing system, whether an application running on the computing system is authorized to access resources within the VPN based on the set of application policies received from the application policy database. Additionally, the method may include enabling, by the computing system, the application to access the resources within the VPN when it is determined that the set of application policies authorizes the application to access the resources within the VPN.

Abstract: According to an example, a method for virtual private network (VPN) access control includes receiving a request from an application on a user device to access a remote computer network asset, and determining, by a processor, an authorization of the application to access the remote computer network asset based on a policy. In response to a determination that the application is authorized to access the remote computer network asset, the method includes setting a VPN connection between the user device and a remote computer network including the remote computer network asset, and routing traffic from the application to the remote computer network asset via the VPN. In response to a determination that the application is not authorized to access the remote computer network asset, the method includes routing traffic from the application to a network different than the remote computer network.