Mcafee, Inc.

Intel Corporation

Mcaee, LLC

Dattatraya Kulkarni

Srikanth Nalluri

Raja Sinha

Kamlesh Halder

Raj Vardhan

Kaushal Kumar Dhruw

Venkatasubrahmanyam Krishnapur

Himanshu Srivastava

Tirumaleswar Reddy Konda

Harsha Ramamurthy Joshi

Susmita Nayak

Krishnapur Narasimhamurthy Venkatasubrahmanyam

Kranthikumar Gadde

Anjan Kumar Nayak

Raghavendra Satyanarayana Hebbalalu

Yogesh Jain

Mitesh Kumar

Ratinder Paul Singh Ahuja

Balbir Singh

Piyush Pramod Joshi

Siddaraya B Revashetti

Rajbir Bhattacharjee

Samrat Chitta

Urmil Mahendra Parikh

Aravind Doss

Partha Sarathi Barik

Sailaja K Shankar

Shashank Mohan Jain

Shankar Subramanian

Arvind Sankarasubramanian

Kranthi Kumar Gadde

Javed Hasan

Rangaswamy Narayana

Joydeb Mukherjee

Saravana Kumar Subramanian

Purushothaman B

Wei Ey Li

Igor Tatourian

Celeste R Fralick

Kalyan Muthukumar

Abhay Kanhere

Yonghong Huang

Abhishek Tripathi

Rakesh Krishnaiyer

Gabriel G Infante-Lopez

Jeremy F Bennett

Gautam Doshi

John Ng

Somnath Ghosh

Chu-Cheow Lim

Mahamood Hussain

Krishnamurthy Sridharan

Raghuvir Songhela

Jitesh Dattani

Ram Sharan Singh

Sandeep Swastik

Pravat Lall

Bhaavika Panjwani

Siddartha Y Ramamohan

Sohan Lal

Saravana Kumar Ramalingam

VijayaSumanth Pinapala

Reji Gopalakrishnan

Muralitharan Chithanathan

Shailaja Shankar

Sonam Bothra

Dennis Luo

Venkata Krishnan Nagarajan

A computing includes a hardware platform having a processor and a memory; and instructions encoded within the memory to instruct the processor to: on behalf of a human user, scan a social media platform for which the user has an account, and compute a proactive privacy risk score, wherein the proactive privacy risk score is a quantitative value based at least in part on an inherent risk of the social media platform according to data types that may be collected and exposed by the social media platform, and at least in part on privacy settings for the social media platform in relation to the data types; and recommend or initiate an action to improve the proactive privacy risk score.

Quantified social media privacy

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.

System and method for assessment of privacy exposure and computing risk index for online service

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.

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.

Methods and apparatus to orchestrate personal protection across digital assets

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.

Methods and apparatus for comprehensive user-centric protection of digital assets

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.

Resource management for preferred applications

There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface to communicatively couple to a network; and a network gateway engine to identify devices on the network, the network gateway engine including instructions encoded within the memory to instruct the processor to provide two-phase identification for a device newly-identified on the network, including: a static identification phase including applying discovery probes to the newly-identified device; and a dynamic identification phase including collecting network telemetry for the newly-identified device over time and analyzing the collected network telemetry to determine if the network telemetry is consistent with expected network usage for the newly-discovered device.

Device identification

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.

Managed software remediation

Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety. An example apparatus to identify unsafe permissions associated with a candidate app disclosed herein includes an app classifier interface to retrieve a cluster of apps associated with the candidate app, the candidate app including a requested permission set (RPS), a white knight (WK) identifier to identify a set of WK apps within the cluster, the set of WK apps associated with a designation of trust, a safe permission set (SPS) evaluator to generate an SPS list associated with the set of WK apps within the cluster, and an RPS identifier to determine whether permissions of the RPS are listed in the SPS list, the SPS evaluator further to designate first respective ones of the permissions of the RPS as safe when the first respective ones of the permissions are listed in the SPS list, and designate second respective ones of the permissions of the RPS as unsafe when the second respective ones of the permissions are absent from the SPS list.

Methods, systems, articles of manufacture and apparatus to verify application permission safety

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.

Dynamic process criticality scoring

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.

Methods and apparatus for automatic creation and access to favorite personal cloud data

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.

Systems, methods, and media for authorizing external network access requests

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.

Digital protection that travels with data

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.

Mechanisms for conserving resources of wearable devices

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.

Contextual management of browser extensions

Growing community of inventors

Bengaluru, India

Dattatraya Kulkarni