Abstract: System and methods are disclosed for redacting analyzing unstructured data in a request for data associated with a data subject to determine whether the unstructured data is relevant to the request. The relevancy of pieces of the unstructured data may be determined by determining a categorization for each such piece of unstructured data and comparing them to known personal data associated with the data subject having the same categorization. Pieces of the unstructured data that do not match known personal data having the same categorization are redacted from the request before the request is processed.

Abstract: 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.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for determining an applicable privacy policy based on various criteria associated with a user and the associated product or service. User and product criteria may be obtained automatically and/or based on user input and analyzed by a privacy policy rules engine to determine the applicable policy. Text from the applicable policy can then be presented to the user. A default policy can be used when no particular applicable policy can be identified using by the rules engine. Policies may be ranked or prioritized so that a policy can be selected in the event the rules engine identifies two, conflicting policies based on the criteria.

Abstract: In particular embodiments, a data processing consent management system may be configured to utilize one or more age verification techniques to at least partially authenticate the data subject's ability to provide valid consent (e.g., under one or more prevailing legal requirements) in order to collect, store, and or process the subject's personal data. For example, according to one or more particular legal or industry requirements, an individual (e.g., data subject) may need to be at least a particular age (e.g., an age of majority, an adult, over 18, over 21, over 13, or any other suitable age) in order to provide valid consent. Data processing systems may generate and store one or more consent records memorializing valid consent for data processing from data subjects in response to confirming that the data subject is old enough to provide such consent.

Abstract: 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.

Abstract: Data processing systems and methods, according to various embodiments are adapted for efficiently processing data to allow for the streamlined assessment of the risk level associated with particular privacy campaigns. The systems may provide a centralized repository of templates of privacy-related question/answer pairings for various vendors, products (e.g., software products), and services. Different entities may electronically access the templates (which may be periodically updated and centrally audited) and customize the templates for evaluating the risk associated with the entities' respective business endeavors that involve the relevant vendors, products, or services.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for efficiently processing data to allow for the streamlined assessment of risk ratings for one or more vendors. In various embodiments, the systems/methods may use one or more particular vendor attributes (e.g., as determined from scanning one or more webpages associated with the particular vendor) and the contents of one or more completed templates for the vendor to determine a vendor risk rating for the particular vendor. As a particular example, the system may scan a website associated with the vendor to automatically determine one or more security certifications associated with the vendor and use that information, along with information from a completed template for the vendor, to calculate a vendor risk rating that indicates the risk of doing business with the vendor.

Abstract: A Data Subject Access Request (DSAR) Prioritization System, according to various embodiments, is adapted for (1) executing the steps of receiving a data subject access request (DSAR); (2) at least partially in response to receiving the DSAR, obtaining metadata associated with at least one of the DSAR or a data subject associated with the DSAR; (3) using the metadata to determine whether a priority of the DSAR should be adjusted based at least in part on the obtained metadata; and (4) in response to determining that the priority of the DSAR should be adjusted based at least in part on the obtained metadata, adjusting the priority of the DSAR.

Abstract: A method for scanning a website and tracking data subject interaction with the website, comprising: determining a data subject is interacting with a particular website; determining one or more website parameters associated with the particular website, the one or more website parameters associated with the particular website include scanning the particular website to determine website cookies that capture data subject information, and determining a website category of the particular website; determining a geo-location of the data subject when the data subject is interacting with the particular website; determining one or more data subject consent parameters based at least in part on the one or more website parameters associated with the particular website and the geo-location of the data subject when the data subject is interacting with the particular website; and applying the one or more data subject consent parameters to the data subject interaction with the particular website.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for mapping various questions regarding a data breach from a master questionnaire to a plurality of territory-specific data breach disclosure questionnaires. The answers to the questions in the master questionnaire are used to populate the territory-specific data breach disclosure questionnaires and determine whether disclosure is required in territory. The system can automatically notify the appropriate regulatory bodies for each territory where it is determined that data breach disclosure is required.

Abstract: Computer-readable media, according to various embodiments, store computer-executable instructions for: (1) analyzing computer code for a mobile application to identify a tracking technology being used by the mobile application for collecting personal data of a user of the mobile application; (1) identifying a recommendation for managing a design of the mobile application in light of the tracking technology; (3) identifying a task to implement the recommendation; (4) generating output comprising a report documenting the task; and (5) providing the report for display to an individual on a display screen.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for efficiently processing data to allow for the streamlined assessment of risk ratings for one or more vendors. In various embodiments, the systems/methods may use one or more particular vendor attributes (e.g., as determined from scanning one or more webpages associated with the particular vendor) and the contents of one or more completed templates for the vendor to determine a vendor risk rating for the particular vendor. As a particular example, the system may scan a website associated with the vendor to automatically determine one or more security certifications associated with the vendor and use that information, along with information from a completed template for the vendor, to calculate a vendor risk rating that indicates the risk of doing business with the vendor.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for efficiently processing data to allow for the streamlined assessment of risk ratings for one or more vendors. In various embodiments, the systems/methods may use one or more particular vendor attributes (e.g., as determined from scanning one or more webpages associated with the particular vendor) and the contents of one or more completed templates for the vendor to determine a vendor risk rating for the particular vendor. As a particular example, the system may scan a website associated with the vendor to automatically determine one or more security certifications associated with the vendor and use that information, along with information from a completed template for the vendor, to calculate a vendor risk rating that indicates the risk of doing business with the vendor.

Abstract: 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.

Abstract: A method for managing a consent receipt under an electronic transaction, comprising: receiving a request to initiate a transaction between the entity and the data subject; providing a privacy policy associated with the entity and based at least in part on the request to initiate the transaction between the entity and the data subject; accessing the privacy policy associated with the entity; storing one or more provisions of the privacy policy associated with the entity; providing a user interface for consenting to the privacy policy associated with the entity; receiving a selection to consent to the privacy policy associated with the entity and based at least in part on the request to initiate the transaction between the entity and the data subject; generating, by a third-party consent receipt management system, a consent receipt to the data subject; and storing the generated consent receipt.

Abstract: Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for identifying data processing activities associated with various data assets based on data discovery results. In accordance various aspects, a method is provided comprising: identifying and scanning data assets to detect a subset of the data assets, wherein each asset of the subset is associated with a particular data element used for target data; generating a prediction for each pair of data assets of the subset on the target data flowing between the pair; identifying a data flow for the target data based on the prediction generated for each pair; and identifying a data processing activity associated with handling the target data based on a correlation identified for the particular data element, the subset, and/or the data flow with a known data element, subset, and/or data flow for the data processing activity.

Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.

Abstract: Embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for permitting or blocking tracking tools used through webpages. In particular embodiments, the method involves: scanning a webpage to identify a tracking tool configured for processing personal data; determining a data destination location that is associated with the tracking tool; and generating program code configured to: determine a location associated with a user who is associated with a rendering of the webpage; determine a prohibited data destination location based on the location associated with the user; determine that the data destination location associated with the tracking tool is not the prohibited data destination location; and responsive to the data destination location associated with the tracking tool not being the prohibited data destination location, permit the tracking tool to execute.

Abstract: In general, various aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for generating and managing custom attributes and corresponding values for domain objects defined within microservices. In accordance with various aspects, a method is provided that comprises: receiving a custom attribute request for a domain object defined in a microservice that comprises a domain object identifier, a custom attribute to add to the domain object, and a value type for the custom attribute; identifying, based on the domain object identifier and the value type, a custom value table for the domain object that comprises placeholder fields; identifying a placeholder field that is available in the custom value table; and storing a record in the attribute schema table for the domain object and the custom attribute comprising mapping data that maps the custom attribute to the placeholder field for the custom value table.

Abstract: 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.