Onetrust, LLC

Omnissa, LLC

Rajneesh Kesavan

Jonathan Blake Brannon

Kevin Jones

Casey Hill

Subramanian Viswanathan

Patrick Whitney

Anand Balasubramanian

Mithun Babu

Jeffrey Baucom

Madhusudhan Kunhambu

Brian Kelly

Sathish Gopalakrishnan

Mohamed Kabad

Jayamohan Puthenveetil

Santosh Kumar Koti

Ramani Panchapakesan

Suman Aluvala

Sachin Vas

Pavan Rajkumar Rangain

Niranjan Paramashivaiah

Arjun Kochhar

Vasu Narayanappa

Nirmalya Ganguly

Santhosh Kumar Koti

Disclosed are various approaches for dynamically integrating a client application with multiple third-party services. An integration service receives a request to perform an action relative to a particular third-party service from a client device. The request is received through a first application programming interface (API) generic to a plurality of third-party services. The integration service communicates with the particular third-party service to perform the action using a second API specific to the particular third-party service. The integration service sends a response to the client device through the first API. The response is based at least in part on a result of the action and includes an indication of one of a plurality of predefined user interfaces.

Dynamically integrating a client application with third-party services

Examples described herein include systems and methods for performing distributed encryption across multiple devices. An example method can include a first device discovering a second device that shares a network. The device can identify data to be sent to a server and calculate a checksum for that data. The device can then split the data into multiple portions and send a portion to the second device, along with a certificate associated with the server for encrypting the data. The first device can encrypt the portion of data it retained. The first device can receive an encrypted version of the second portion of the data sent to the second device. The first device can merge these two portions and send the merged encrypted data to the server, along with the checksum value. The server can decrypt the data and confirm that it reflects the original set of data.

Distributed encryption

Data processing systems and methods, according to various embodiments, are adapted for determining a categorization for each tracking tool that executes on a particular webpage based on a variety of criteria, such as the purpose of the tracking tool and its source script. The system may compare the characteristics of tracking tools on a webpage to a database of known tracking tools to determine the appropriate categorization. When a user visits the webpage, the system analyzes these categories and determines whether the tracking tool should be permitted to run based on the categories and/or other criteria, such as whether the user has consented to the use of that type of tracking tool.

Data processing systems and methods for automatically blocking the use of tracking tools

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Bengaluru, India

Rajneesh Kesavan