Abstract: Mobile device security, device management, and policy enforcement are described in a cloud-based system where the “cloud” is used to pervasively enforce security and policy and perform device management regardless of device type, platform, location, etc. A method includes receiving one of a mobile profile and an application for an enterprise and a cloud-based system; installing the one of the mobile profile and the application on the mobile device; connecting to a network using the one of the mobile profile and the application; and having traffic content inspected and policy enforced thereon to/from the mobile device and the network via the cloud-based system.

Abstract: Systems and Methods for assisting the hearing-impaired are described. The methods rely on obtaining audio signals from the ambient environment of a hearing-impaired person. The audio signals are analyzed by a machine learning model that can classify audio signals into audio categories (e.g. Emergency, Animal Sounds) and audio types (e.g. Ambulance Siren, Dog Barking) and notify the user leveraging a mobile or wearable device. The user can configure notification preferences and view historical logs. The machine learning classifier is periodically trained externally based on labelled audio samples. Additional system features include an audio amplification option and a speech to text option for transcribing human speech to text output.

Abstract: Mobile device security, device management, and policy enforcement are described in a cloud-based system where the “cloud” is used to pervasively enforce security and policy and perform device management regardless of device type, platform, location, etc. A cloud-based method includes monitoring traffic between a mobile device and a network in a cloud-based system that is implemented as an overlay network relative to the mobile device and the network; analyzing the traffic from the mobile device to the network, for enforcing policy thereon, wherein the policy includes a set of use guidelines associated with the user of the mobile device; and blocking or allowing the traffic from the mobile device to the network based on the analyzing.

Abstract: Systems and Methods for assisting the hearing-impaired are described. The methods rely on obtaining audio signals from the ambient environment of a hearing-impaired person. The audio signals are analyzed by a machine learning model that can classify audio signals into audio categories (e.g. Emergency, Animal Sounds) and audio types (e.g. Ambulance Siren, Dog Barking) and notify the user leveraging a mobile or wearable device. The user can configure notification preferences and view historical logs. The machine learning classifier is periodically trained externally based on labelled audio samples. Additional system features include an audio amplification option and a speech to text option for transcribing human speech to text output.

Abstract: Systems and methods include intercepting traffic on the user device; forwarding the traffic to a cloud-based system for security processing therein; and, responsive to unavailability of the cloud-based system preventing the forwarding, performing local security processing of the traffic at the user device including determining whether the traffic is allowed based on a cache at the user device, forwarding the traffic separate from the cloud-based system when it is allowed, and blocking the traffic when it is not allowed.

Abstract: Systems and methods for analyzing digital user experience include performing inline monitoring of network access between one or more users each with an associated user device executing an agent application, the Internet, and one or more cloud applications and private applications accessible via lightweight connectors; based on user experience metrics collected by the inline monitoring and stored in a logging analysis system, obtaining user experience metrics for one or more users for a given time epoch and for a given application; determining a user experience score for the one or more users for the given time epoch and for the given application based on the obtained user experience metrics; and providing a graphical user interface displaying data related to various user experience scores for various users over various time epochs with various applications.

Abstract: Systems and methods for monitoring digital user experience include performing inline monitoring of network access between one or more users each with an associated user device executing an agent application, the Internet, and one or more cloud applications and private applications accessible via lightweight connectors; responsive to a user executing a specific application, obtaining device and application metrics for the user from the associated user device related to usage of specific application; obtaining network metrics from the cloud system related to network performance of the specific application; and providing the device and application metrics and the network metrics to a logging and analytics system for quantifying digital user experience of the specific application.

Abstract: Systems and methods for troubleshooting and performance analysis of a cloud-based service include receiving metrics over time from a plurality of analyzers, wherein the metrics include service-related metrics and network-related metrics related to a cloud-based service, wherein each analyzer of the plurality of analyzers is executed at one of a user device accessing the cloud-based service and in the cloud-based service, and wherein at least one analyzer is executed in the cloud-based service; analyzing the metrics to determine a status of the cloud-based service over the time; and identifying issues related to the cloud-based service utilizing the analyzed metrics over the time, wherein the issues include any of an issue on a particular user device, an issue in a network between a particular user device and the cloud service, and an issue within the cloud service.

Abstract: Mobile device security, device management, and policy enforcement are described in a cloud-based system where the “cloud” is used to pervasively enforce security and policy and perform device management regardless of device type, platform, location, etc. A cloud-based method includes monitoring traffic between a mobile device and a network in a cloud-based system that is implemented as an overlay network relative to the mobile device and the network; analyzing the traffic from the mobile device to the network, for enforcing policy thereon, wherein the policy includes a set of use guidelines associated with the user of the mobile device; and blocking or allowing the traffic from the mobile device to the network based on the analyzing.

Abstract: Systems and methods for analyzing digital user experience include performing inline monitoring of network access between one or more users each with an associated user device executing an agent application, the Internet, and one or more cloud applications and private applications accessible via lightweight connectors; based on user experience metrics collected by the inline monitoring and stored in a logging analysis system, obtaining user experience metrics for one or more users for a given time epoch and for a given application; determining a user experience score for the one or more users for the given time epoch and for the given application based on the obtained user experience metrics; and providing a graphical user interface displaying data related to various user experience scores for various users over various time epochs with various applications.

Abstract: Systems and methods for monitoring digital user experience include performing inline monitoring of network access between one or more users each with an associated user device executing an agent application, the Internet, and one or more cloud applications and private applications accessible via lightweight connectors; responsive to a user executing a specific application, obtaining device and application metrics for the user from the associated user device related to usage of specific application; obtaining network metrics from the cloud system related to network performance of the specific application; and providing the device and application metrics and the network metrics to a logging and analytics system for quantifying digital user experience of the specific application.

Abstract: Mobile device security, device management, and policy enforcement are described in a cloud based system where the “cloud” is used to pervasively enforce security and policy and perform device management regardless of device type, platform, location, etc. A cloud based method includes monitoring traffic between a mobile device and an external network in a cloud based system separate from the mobile device and the external network; enforcing policy with respect to the traffic from the mobile device to the external network to determine whether to block or allow the traffic from the mobile device to the external network; and inspecting content associated with the traffic from the external network to the mobile device to determine whether to block or allow the traffic from the external network to the mobile device.

Abstract: A method for troubleshooting and performance analysis of a cloud based system, the method implemented by an analyzer service executed on one or more servers, and the analyzer service communicatively coupled to a network and to user devices, the method includes receiving results from execution of an analyzer application on each of the user devices, wherein the analyzer application is executed locally on user devices to perform tests comprising traceroutes and web page loads, and wherein the plurality of tests are performed both through the cloud based system to the network and directly to the network; processing the results to determine a status of the cloud based system and associated user devices communicating therewith; utilizing the status to identify bottlenecks and issues associated with the cloud based system and the network; and causing performance of remedial actions based on the identified bottlenecks and the issues.

Abstract: Systems and methods for improving digital user experience include performing inline monitoring of network access between one or more users each with an associated user device executing an agent application, the Internet, and one or more cloud applications and private applications accessible via lightweight connectors; obtaining user experience scores for any of a user, a group of users, a location, and an organization from the inline monitoring or from the logging and analytics system; responsive to a low user experience, analyzing the low user experience score to determine one or more likely factors; and causing one or more remedial actions to address the low user experience score based on the one or more likely factors.

Abstract: Mobile device security, device management, and policy enforcement are described in a cloud based system where the “cloud” is used to pervasively enforce security and policy and perform device management regardless of device type, platform, location, etc. A cloud based method includes monitoring traffic between a mobile device and an external network in a cloud based system separate from the mobile device and the external network; enforcing policy with respect to the traffic from the mobile device to the external network to determine whether to block or allow the traffic from the mobile device to the external network; and inspecting content associated with the traffic from the external network to the mobile device to determine whether to block or allow the traffic from the external network to the mobile device.

Abstract: Mobile device security, device management, and policy enforcement are described in a cloud based system where the “cloud” is used to pervasively enforce security and policy and perform device management regardless of device type, platform, location, etc. A cloud based method for mobile device security, device management, and policy enforcement includes, responsive to configuring the mobile device for connectivity to the cloud system, monitoring data between the mobile device and the external network, wherein the cloud system connects to the mobile device independent of a type, platform, or operating system associated with the mobile device; analyzing the data in real-time in the cloud system thereby not impacting performance of the mobile device; and controlling exchange of the data, in the cloud system, between the mobile device and the external network based on the analyzing.

Abstract: Systems and method implemented through a distributed security system for determining and addressing risk of users, groups of users, locations, and/or companies include obtaining log data from the distributed security system; analyzing the log data to obtain a risk score for an entity associated with the distributed security system, wherein the entity comprises one of a user, a group of users, a location, and a company, and wherein the risk score is a weighted combination of pre-infection behavior, post-infection behavior, and suspicious behavior; performing one or more remedial actions for the entity; and subsequently obtaining updated log data and analyzing the updated log data to obtain an updated risk score to determine efficacy of the one or more remedial actions.

Abstract: Systems and methods for identifying and addressing domains suspected as malicious domains used for targeted attacks in a cloud-based system include receiving valid domains; receiving an unidentified domain; comparing the unidentified domain to the valid domains to derive a distance calculation of the unidentified domain to each of the valid domains; determining whether the unidentified domain is a cybersquatting attempt of one of the valid domains based on the comparing; and, responsive to the determining the unidentified domain is a cybersquatting attempt, one of notifying an operator/user and blocking the unidentified domain in the cloud-based system.

Abstract: A bone screw, for drawing first and second bone fragments together, includes a shaft having a distal section and a proximal section. The distal section has a first external male screw thread and a minor diameter. The proximal section has a second external male screw thread. A major diameter of the distal section is larger than a major diameter of the proximal section. The bone screw includes a sleeve that has an internal female screw thread configured to mate with the second male screw thread. A distal portion of the sleeve has an outer diameter. The outer diameter is equal to or smaller than the minor diameter of the distal section of the shaft.

Abstract: A bone screw, for drawing first and second bone fragments together, includes a shaft having a distal section and a proximal section. The distal section has a first external male screw thread and a minor diameter. The proximal section has a second external male screw thread. A major diameter of the distal section is larger than a major diameter of the proximal section. The bone screw includes a sleeve that has an internal female screw thread configured to mate with the second male screw thread. A distal portion of the sleeve has an outer diameter. The outer diameter is equal to or smaller than the minor diameter of the distal section of the shaft.