Onetrust, LLC

Airwatch LLC

Other

Vmware, Inc.

Kabir A Barday

Jonathan Blake Brannon

Jason L Sabourin

Mihir S Karanjkar

Kevin Jones

Dylan D Patton-Kuhl

Steven W Finch

Ken A Browne

Aakash H Patel

Richard L Daniel

Nathan W Heard

Richard A Beaumont

John Mannix

Ashish Kumar Jain

Adam Stephen Rykowski

Emily Hong Xu

Sridhara Babu Kommireddy

Kyle Austin

Dale Robert Olds

Craig Farley Newell

Priya Malhotra

Subramanian Viswanathan

Milap Shah

Nicholas Brouillette

Camilo Lotero

Pratik Jagad

Krishna Kumar Bhavesh

Andrew Clearwater

Dale Roberts Olds

Bryan Patrick Kveen

Hannah Rose Walk

In various embodiments, a data map generation system is configured to receive a request to generate a privacy-related data map for particular computer code, and, at least partially in response to the request, determine a location of the particular computer code, automatically obtain the particular computer code based on the determined location, and analyze the particular computer code to determine privacy-related attributes of the particular computer code, where the privacy-related attributes indicate types of personal information that the particular computer code collects or accesses. The system may be further configured to generate and display a data map of the privacy-related attributes to a user.

Data processing systems and methods for performing assessments and monitoring of new versions of computer code for compliance

Computer implemented methods, according to various embodiments, comprise: (1) integrating a privacy management system with DLP tools; (2) using the DLP tools to identify sensitive information that is stored in computer memory outside of the context of the privacy management system; and (3) in response to the sensitive data being discovered by the DLP tool, displaying each area of sensitive data to a privacy officer (e.g., similar to pending transactions in a checking account that have not been reconciled). A designated privacy officer may then select a particular entry and either match it up (e.g., reconcile it) with an existing data flow or campaign in the privacy management system, or trigger a new privacy assessment to be done on the data to capture the related privacy attributes and data flow information.

Data processing systems and methods for integrating privacy information management systems with data loss prevention tools or other tools for privacy design

Data processing systems and methods according to various embodiments are adapted for automatically detecting and documenting privacy-related aspects of computer software. Particular embodiments are adapted for: (1) automatically scanning source code to determine whether the source code include instructions for collecting personal data; and (2) facilitating the documentation of the portions of the code that collect the personal data. For example, the system may automatically prompt a user for comments regarding the code. The comments may be used, for example, to populate: (A) a privacy impact assessment; (B) system documentation; and/or (C) a privacy-related data map. The system may comprise, for example, a privacy comment plugin for use in conjunction with a code repository.

Data processing systems and methods for automatically detecting and documenting privacy-related aspects of computer software

A consent receipt management system is configured to: (1) automatically cause a prior, validly received consent to expire (e.g., in response to a triggering event); and (2) in response to causing the previously received consent to expire, automatically trigger a recapture of consent. In particular embodiments, the system may, for example, be configured to cause a prior, validly received consent to expire in response to one or more triggering events.

Consent receipt management systems and related methods

In various embodiments, a system may be configured to substantially automatically determine whether to take one or more actions in response to one or more identified risk triggers (e.g., data breaches, regulation change, etc.). The system may, for example: (1) compare the potential risk trigger to one or more previous risks triggers experienced by the particular entity at a previous time; (2) identify a similar previous risk trigger (e.g., one or more previous risk triggers related to a similar change in regulation, breach of data, type of issue identified, etc.); (3) determine the relevance of the current risk trigger based at least in part on a determined relevance of the previous risk trigger; and (4) determine whether to take one or more actions to the current risk trigger based at least in part on one or more determined actions to take in response to the previous, similar risk trigger.

Data processing systems for identifying, assessing, and remediating data processing risks using data modeling techniques

Disclosed are various examples for providing a single sign-on experience for mobile applications that may or may not be managed. A first application executed in a client device sends an access request to a service provider. The first application receives a redirection response from the service provider that redirects the first application to an identity provider. The first application then receives a further redirection response from the identity provider that causes the first application to request an identity assertion from a second application executed in the client device. The first application receives the identity assertion from the second application. The first authentication then authenticates with the service provider using the identity assertion.

Single sign-on for unmanaged mobile devices

In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, 'internet of things' computerized device, database, website, data-center, server, etc.). For example, a first data asset may include any software or device (e.g., server or servers) utilized by a particular entity for such data collection, processing, transfer, storage, etc.

Data processing systems for generating and populating a data inventory

Data processing systems and methods, according to various embodiments, are adapted for performing a process of procuring a vendor and sub-processes associated therewith, such as performing vendor risk assessments and providing training specific to the procurement of that particular vendor. Training requirements for the user procuring the vendor and/or for the vendor itself are determined and any deficiencies in current, valid training requirements are identified. Training to address any identified deficiencies is provided as part of the vendor procurement process. Training may be customized based on trainee and/or organization attributes to improve the effectiveness of such training.

Data processing systems and methods for providing training in a vendor procurement process

Examples of detecting whether a device meets an enrollment level are disclosed. In one case, a method for providing access to an application on a client device includes receiving a request to access an application from the client device, determining an enrollment level associated with the application, and determining that multi-factor authentication is required for access to the application on the client device based on the enrollment level associated with the application. The method can also include initiating multi-factor authentication on the client device before access to the application is permitted. The method can also include determining that multi-factor authentication is successful on the client device, transmitting a management component to the client device, and installing the management component on the client device for enrollment as a managed device with a management service.

Providing access to applications with varying enrollment levels

In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include any entity that collects, processes, contains, and/or transfers personal data (e.g., a software application, database, website, server, etc.). A data asset may include any software or device (e.g., server or servers) utilized by a particular entity for such data collection, processing, transfer, storage, etc. The system may then utilize the generated model to fulfil a data subject access request.

Data processing systems for generating and populating a data inventory for processing data access requests

Disclosed are various approaches for providing authentication of a user and a client device. A user's credentials can be authenticated by an identity provider. In addition, a device posture assessment that analyzes the device from which the authentication request originates is also performed. An authentication request can be authenticated based upon whether the device posture assessment reveals that device to be a managed device that is in compliance with compliance rules.

Device authentication based upon tunnel client network requests

A system for identifying and determining whether a particular cookie may include personal data, in any embodiment described herein, is configured to analyze collected cookies to determine whether the collected cookies may be used to directly or indirectly identify a particular individual. The system may, for example: (1) generate one or more virtual profiles; (2) use the one or more virtual profiles to access a plurality of websites; (3) collect cookie data for the plurality of websites for the one or more virtual profiles; and (4) analyze the cookie data to determine whether a particular website of the plurality of websites utilizes one or more cookies which may potentially include personal data. The system may then generate a report of the analysis, and display the report to an administrator or other individual associated with the particular website.

Data processing systems for identifying whether cookies contain personally identifying information

A consent receipt management and data processing system may be configured to provide a centralized repository of consent receipt preferences for a plurality of data subjects. In various embodiments, the system is configured to provide an interface to the plurality of data subjects for modifying consent preferences and capture consent preference changes. The system may provide the ability to track the consent status of pending and confirmed consents. In other embodiments, the system may provide a centralized repository of consent receipts that a third-party system may reference when taking one or more actions related to a processing activity.

Data processing systems and communication systems and methods for the efficient generation of risk assessments

Responding to a data subject access request includes receiving the request and identifying the requestor and source. In response to identifying the requestor and source, a computer processor determines whether the data subject access request is subject to fulfillment constraints, including whether the requestor or source is malicious. If so, then the computer processor denies the request or requests a processing fee prior to fulfillment. If not, then the computer processor fulfills the request.

Growing community of inventors

Atlanta, GA, United States of America

Kabir A Barday