Abstract: Methods, apparatus, systems, and articles of manufacture for orchestrating personal protection across digital assets are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to monitor digital assets associated with a protection threat surface to detect a protection event, determine one or more protection vectors associated with the digital assets in response to detecting the protection event, the one or more protection vectors including one or more values corresponding to an impact of the protection event on an overall protection posture associated with the protection threat surface, and determine protection remediation action for the digital assets based on the one or more protection vectors.

Abstract: Methods and apparatus for voice transformation, authentication, and metadata communication are disclosed.

Abstract: Methods, apparatus, systems, and articles of manufacture for comprehensive user-centric protection of digital assets are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to identify digital assets associated with a protection threat surface, detect protection events corresponding to threats associated with the digital assets, and determine protection vectors associated with the digital assets based on the protection events, the protection vectors corresponding to protection capabilities associated with the digital assets.

Abstract: An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to monitor software and hardware parameters on an electronic device that includes an application designated as a preferred application; determine whether the preferred application is running; detect a change in software or hardware parameters that indicates to reallocate resources to the preferred application; and apply, based on detecting the change in software or hardware parameters, an optimization policy that reallocates resources to a process associated with the preferred application.

Abstract: There is disclosed in one example a computer apparatus, including: a hardware platform including a central processor unit (CPU) and a memory; and instructions encoded within the memory to instruct the CPU to: enumerate a plurality of running processes, and associate resource demands with the running processes; predict a resource starvation condition for at least one process; rank the plurality of running processes according to a dynamic ranking algorithm, wherein the ranking algorithm includes user engagement as an input for ranking a process; and according to the ranking and a safeguard algorithm, deallocate resources from a process ranked lower than the at least one process and assign the deallocated resources to the at least one process to mitigate the predicted resource starvation condition.

Abstract: There is disclosed in one example a computer-implemented system and method, including upon determining that an application has a non-benign reputation, selectively installing the application based on a user input; and personalizing the application by running the application concurrently with a personalization engine to limit the application to benign behavior.

Abstract: There is disclosed in one example a remediation server including: a hardware platform, including a processor, a memory, and a network interface; and instructions encoded within the memory to instruct the processor to: receive an application binary; create an application logic model of the application binary; and create personalization rules for the application binary based on the application logic model.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.

Abstract: Disclosed examples include causing transmission of an indication to a server. The indication indicates that a file on a host storage location is designated as a favorite file. The indication causes a copy of the file to be stored in a favorites storage device. Disclosed examples also include generating a modified copy of the file by modifying the file at the host storage location, and causing synchronization of the modified copy of the file from the host storage location to replace the copy of the file at the favorites storage device.

Abstract: There is disclosed herein a computer-implemented system and method of providing wellness detect and response (WDR) security services for an enterprise, including computing, for the enterprise, a quantitative user-centric security posture, wherein computing the quantitative user-centric security posture comprises calculating, for a user, a quantitative user risk profile according to a combination of user role, user privileges, user behavior, and digital assets assigned to a user and owned by the enterprise.

Abstract: There is disclosed in one example a computer apparatus, including: a hardware platform including a central processor unit (CPU) and a memory; and instructions encoded within the memory to instruct the CPU to: enumerate a plurality of running processes, and associate resource demands with the running processes; predict a resource starvation condition for at least one process; rank the plurality of running processes according to a dynamic ranking algorithm, wherein the ranking algorithm includes user engagement as an input for ranking a process; and according to the ranking and a safeguard algorithm, deallocate resources from a process ranked lower than the at least one process and assign the deallocated resources to the at least one process to mitigate the predicted resource starvation condition.

Abstract: A computer-implemented method provides security services to an enterprise. The method computes, for a plurality of enterprise users, a plurality of user health scores based on respective protection statuses for a plurality of enterprise assets owned by respective users; computes, for the enterprise, an overall enterprise security status score based on the plurality of user health scores; graphically displays to an enterprise administrator the overall enterprise security status score; and presents to the enterprise administrator a plurality of action recommendations to improve the overall enterprise security status score.

Abstract: Disclosed examples include receiving an indication that a file is designated as a favorite file from a user device; retrieving the file from a remote location; storing the file as a first favorite file on a favorites storage device; re-retrieving the file from the remote location; and updating the first favorite file with the re-retrieved file.

Abstract: Mechanisms for authorizing requests to access a resource are provided, the methods comprising: receiving a request to access the resource at a hardware processor from an Internet Protocol (IP) address; determining whether a rule applies to the request to access the resource; in response to determining that a rule does not apply to the request to access the resource, sending a request for authorization; receiving a response to the request for authorization; and in response to the response to the request for authorization indicating that access is authorized, providing a connection to the resource.

Abstract: A method includes receiving privacy information about an entity from a privacy resource; parsing the privacy information to identify a plurality of keywords; determining a plurality of attributes of a user requested by the entity, at least in part based on the plurality of keywords; and transmitting a result, at least in part based on the plurality of attributes.

Abstract: A method includes receiving privacy information about an entity from a privacy resource; parsing the privacy information into a plurality of attributes of a user; calculating a privacy exposure index, at least in part based on each of the plurality of attributes; and transmitting the privacy exposure index.

Abstract: The present disclosure relates to a system and method for performing anti-malware scanning of data files that is data-centric rather than device-centric. In the example, a plurality of computing devices are connected via a network. An originating device creates or first receives data, and scans the data for malware. After scanning the data, the originating device creates and attaches to the data a metadata record including the results of the malware scan. The originating device may also scan the data for malware contextually-relevant to a second device.

Abstract: The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.

Abstract: There is disclosed in one example a computing endpoint, including: a hardware platform including a processor and a memory; an operating system to run on the hardware platform; a web browser to run on the operating system, and including an extension framework; and a management extension to run in the extension framework, and to contextually manage availability of other extensions according to a URL reputation and extension reputation.

Abstract: A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.