Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

Abstract: A needle-free injector system includes a needle-free injector configured to deploy a dose of a treatment to a patient as an injection event, a gyroscope configured to monitor an orientation of the needle-free injector during the injection event, and a processor configured to perform steps of detecting that an actuator of the needle-free injector has deployed the dose in the injection event, monitoring a signal from the gyroscope during the injection event, determining an orientation of the needle-free injector during the injection event based on the signal from the gyroscope, determining whether the injection event was a treatment event including a successful delivery of the dose to the patient based on the orientation of the needle-free injector during the injection event, and transmitting information regarding the injection event to a server.

Abstract: An injector system includes an injector configured to deploy a dose of a treatment to a patient as an injection event, a gyroscope configured to monitor an orientation of the injector during the injection event, and a processor configured to perform steps of detecting that an actuator of the injector has deployed the dose in the injection event, monitoring a signal from the gyroscope during the injection event, determining an orientation of the injector during the injection event based on the signal from the gyroscope, determining whether the injection event was a treatment event including a successful delivery of the dose to the patient based on the orientation of the injector during the injection event, and transmitting information regarding the injection event to a server.

Abstract: A needle-free injector system includes a needle-free injector configured to deploy a dose of a treatment to a patient as an injection event, a gyroscope configured to monitor an orientation of the needle-free injector during the injection event, and a processor configured to perform steps of detecting that an actuator of the needle-free injector has deployed the dose in the injection event, monitoring a signal from the gyroscope during the injection event, determining an orientation of the needle-free injector during the injection event based on the signal from the gyroscope, determining whether the injection event was a treatment event including a successful delivery of the dose to the patient based on the orientation of the needle-free injector during the injection event, and transmitting information regarding the injection event to a server.

Abstract: A needle-free injector system includes a needle-free injector configured to deploy a dose of a treatment to a patient as an injection event, a gyroscope configured to monitor an orientation of the needle-free injector during the injection event, and a processor configured to perform steps of detecting that an actuator of the needle-free injector has deployed the dose in the injection event, monitoring a signal from the gyroscope during the injection event, determining an orientation of the needle-free injector during the injection event based on the signal from the gyroscope, determining whether the injection event was a treatment event including a successful delivery of the dose to the patient based on the orientation of the needle-free injector during the injection event, and transmitting information regarding the injection event to a server.

Abstract: A compliance tracking device includes a receiver configured to receive a signal from at least one sensor, the signal containing information regarding at least one container of medicine; a processor configured to determine, from the information, a communication regarding the at least one container of medicine; a network interface configured to transmit the communication; and a user interface configured to provide an indication regarding the at least one container of medicine.

Abstract: A needle-free injector system includes a needle-free injector having at least one sensor configured to detect, using the at least one sensor, a degree to which a patient has administered a treatment using the needle-free injector, and configured to transmit information to a server regarding the administration of the treatment; and the server configured to communicate, to a device associated with the patient, a message regarding the administration of the treatment. A method of determining patient compliance with a treatment regimen includes detecting a potential treatment event by a needle-free injector system; measuring, using at least one sensor proximal to a treatment site on a body of a patient, at least one physical parameter; and determining, using the measurement of the at least one physical parameter, a level of compliance of the patient for the potential treatment event.