Onetrust, LLC

Bryan Patrick Kveen

Jonathan Blake Brannon

Dylan D Patton-Kuhl

Kevin Jones

Nicholas Ian Pavlichek

Eliza Rose Crawford

Priya Malhotra

Kabir A Barday

Jason L Sabourin

Subramanian Viswanathan

Milap Shah

A data transfer analysis system is disclosed that analyzes data transfer log entries to determine whether a data transfer is authorized. The system determines information about the data assets involved in the data transfer (e.g., network address, geographical location, etc.) and uses a data map to determine if data transfers are authorized between the two data assets. If not, the system may take one or more actions, such as generating a notification, terminating the data transfer, restricting the access of the user that initiated the transfer, modifying network communications capabilities between the assets to prevent future transfers, and storing metadata that can be used to prevent future such transfers.

Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods

In particular embodiments, a Personal Data Deletion System is configured to: (1) at least partially automatically identify and delete personal data that an entity is required to erase under one or more of the conditions discussed above; and (2) perform one or more data tests after the deletion to confirm that the system has, in fact, deleted any personal data associated with the data subject. The system may, for example, be configured to test to ensure the data has been deleted by: (1) submitting a unique token of data through a form to a system; (2) in response to passage of an expected data retention time, test the system by calling into the system after the passage of the data retention time to search for the unique token.

Data processing systems for data testing to confirm data deletion and related methods

In particular embodiments, an Orphaned Data Action System is configured to analyze one or more data systems (e.g., data assets), identify one or more pieces of personal data that are one or more pieces of personal data that are not associated with one or more privacy campaigns of the particular organization, and notify one or more individuals of the particular organization of the one or more pieces of personal data that are one or more pieces of personal data that are not associated with one or more privacy campaigns of the particular organization.

Data processing systems for orphaned data identification and deletion and related methods

A data processing central consent repository system may be configured to, for example: (1) identify a form used to collect one or more pieces of personal data, (2) determine a data asset of a plurality of data assets of the organization where input data of the form is transmitted, (3) add the data asset to the third-party data repository with an electronic link to the form, (4) in response to a user submitting the form, create a unique subject identifier to submit to the third-party data repository and, along with the form data provided by the user in the form, to the data asset, (5) submit the unique subject identifier and the form data provided by the user to the third-party data repository and the data asset, and (6) digitally store the unique subject identifier and the form data in the third-party data repository and the data asset.

Data processing systems for central consent repository and related methods

In particular embodiments, a Data Transfer Risk Identification System may be configured to analyze one or more data systems (e.g., data assets), identify data transfers between/among those systems, apply data transfer rules to each data transfer record, perform a data transfer assessment on each data transfer record based on the data transfer rules to be applied to each data transfer record, and calculate a risk score for the data transfer based at least in part on the one or more data transfer risks associated with the data transfer record.

Data processing systems for data transfer risk identification and related methods

In particular embodiments, a Cross-Border Visualization Generation System is configured to: (1) identify one or more data assets associated with a particular entity; (2) analyze the one or more data assets to identify one or more data elements stored in the identified one or more data assets; (3) define a plurality of physical locations and identify, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations; (4) analyze the identified one or more data elements to determine one or more data transfers between the one or more data systems in different particular physical locations; (5) determine one or more regulations that relate to the one or more data transfers; and (6) generate a visual representation of the one or more data transfers based at least in part on the one or more regulations.

A chat robot may be used to facilitate interaction with a user in the determination of whether to initiate and process a data subject access request (DSAR). At a DSAR submission webpage, the chatbot may interact with a user to determine the information the user is in need of and/or the actions that the user may take. The chatbot may provide the information desired by the user, avoiding the processing overhead of submission and fulfillment of a DSAR. The chatbot may also facilitate completion of a DSAR on behalf of the user when needed.

Automated data processing systems and methods for automatically processing data subject access requests using a chatbot

The disclosed systems facilitate collection and management of personal data management documentation requirements and associated data. A master questionnaire is used to solicit information regarding documentation requirements for several contexts in a single interaction and responsive data can be mapped to questionnaires and/or datasets for particular contexts, such as jurisdictions and business sectors. The system can generate graphical user interfaces for presenting the documentation requirement data for a particular context by generating an interface with navigational elements for various contexts, detecting browser state data indicating user manipulation of one or more such elements, and generating a subsequent graphical user interface based on the browser context data. The system configures the subsequent interface to present the requested information in display elements and instructs the browser presenting the subsequent interface to retrieve the requested information using an ontology mapping the requested information to a master dataset.

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Atlanta, GA, United States of America

Bryan Patrick Kveen