Abstract: Systems and methods are disclosed detecting whether calls to consent rejection functions originate with an automated tool or a human user. The system can determine that a calls to a consent rejection function are likely from an automated tool by determining that a rate and/or number of calls to a function exceeds a threshold and/or that the calls are received before the interface requesting user consent preferences has been rendered to the user. The system can also require that a function call include a token that an automated tool would not have knowledge of or access to and reject function calls without this token. The system can also use private consent rejection function calls with obfuscated names and/or provide a follow up consent rejections confirmation interface requiring human user input before process a consent rejection.

Abstract: 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.

Abstract: In particular embodiments, computer-implemented data processing, systems, and method configured to: receive a request to initiate a transaction between an entity and a data subject, generate (i) a consent receipt for the transaction comprising at least a unique subject identifier and a unique consent receipt key and (ii) a unique cookie to identify the data subject's transaction initiated by the data subject, store the consent receipt for the transaction and the unique cookie, receive a data subject access request from the data subject, verify an identity of the data subject based at least in part on the unique cookie process the request, process the request by identifying one or more pieces of personal data associated with the data subject, and taking one or more actions based at least in part on the data subject access request.

Abstract: An application privacy analysis system is described, where the system obtains an application and analyzes it for privacy related data use. The system may determine privacy related activities of the application from established sources of such data and/or may decompile the application and analyze the resulting code to determine the privacy related activities of the application. The system may execute the application and monitor the communications traffic exchanged by the application to determine privacy related activities of the application. The system may store the results of such analyses for future reference.

Abstract: Techniques are disclosed for usage-tracking of various information security (InfoSec) entities for tenants/organization onboarded on an instant multi-tenant security assurance platform. The InfoSec entities include policies, procedures, controls and evidence tasks. A policy or procedure is enforced by implementing one or more controls, and the collection of one or more evidence tasks proves/verifies the implementation of a control. The InfoSec entities are linked to each other across the platform and accrue a number of benefits for the tenants. These include generating a security questionnaire response (SQR), defining a readiness project and an audit project, sharing InfoSec entities encompassing the various products of a tenant, automating risk assessment, automatic collection of evidence tasks for verifying the implementation and/or operational state/status of various mitigating controls, etc.

Abstract: In particular embodiments, a data subject request processing system may be configured to utilize one or more local storage nodes in order to process a data subject access request on behalf of a data subject. In particular embodiments, the one or more local storage nodes may be local to the data subject making the request (e.g., in the same country as the data subject, in the same jurisdiction, in the same geographic area, etc.). The system may, for example, be configured to: (1) receive a data subject access request from a data subject (e.g., via a web form); (2) identify a suitable local storage node based at least in part on the request and/or the data subject; (3) route the data subject access request to the identified local storage node; and (4) process the data subject access request at the identified local storage node.

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: 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.

Abstract: 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.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for automatically assessing the level of security and/or privacy risk associated with doing business with a particular vendor or other entity and for generating training material for such vendors. In various embodiments, the systems may automatically obtain and use any suitable information to assess such risk levels including, for example: (1) any security and/or privacy certifications held by the vendor; (2) the terms of one or more contracts between a particular entity and the vendor; (3) the results of one or more privacy impact assessments for the vendor; and/or (4) any other suitable data. The system may be configured to automatically approve or reject a particular vendor based on the assessed risk level associated with the vendor and this information may be automatically communicated to an entity considering doing business with the vendor and/or the vendor itself.

Abstract: A consent receipt management system may, for example, be configured to track data on behalf of an entity that collects and/or processes persona data related to: (1) who consented to the processing or collection of personal data; (2) when the consent was given (e.g., a date and time); (3) what information was provided to the consenter at the time of consent (e.g., a privacy policy, what personal data would be collected following the provision of the consent, for what purpose that personal data would be collected, etc.); (4) how consent was received (e.g., one or more copies of a data capture form, webform, etc. via which consent was provided by the consenter); (5) when consent was withdrawn (e.g., a date and time of consent withdrawal if the consenter withdraws consent); and/or (6) any other suitable data related to receipt or withdrawal of consent.

Abstract: In various embodiments, a personal data processing system may require guardian consent (e.g., parental consent) for a data subject in order to collect, store, and or process the subject's personal data. The system may prompt the data subject to initiate a request for guardian consent or the system may initiate a request for guardian consent without initiation from the data subject (e.g., in the background of a transaction). In some embodiments, the system may require guardian consent when a data subject is under the age for valid consent for the particular type of personal data that will be collected as part of a particular transaction. Data processing systems may generate and store one or more consent records memorializing valid consent for data processing from data subjects and/or from guardians on their behalf (e.g., in the case of a minor data subject).

Abstract: In various embodiments, a data processing consent capture system may be configured to prompt the data subject to consent to one or more types of data processing (e.g., to provide a desired consent) in response to identifying particular cookies (e.g., or types of data processing) that a data subject has not consented to. The system may, for example, substantially automatically prompt the data subject to consent for one or more particular types of data processing in response to determining that the user (e.g., data subject) has requested that a website or other system perform one or more functions that are not possible without a particular type of consent from the data subject. The system may, for example, prompt the user to consent in time for a certain interaction with the website, application, etc.

Abstract: Data stored on a data asset may be migrated to another data asset while maintaining compliance to applicable regulations. A data asset may experience a failure. Based on the type of data stored by that data asset and the applicable regulations, requirements, and/or restrictions that relate to a transfer of that type data from that data asset, a target data asset may be determined. The data stored on the data asset may then be transferred to the target data asset. The disclosed systems may use data models and/or data maps in determining the requirements for a data transfer and selecting target data assets.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for automatically assessing the level of security and/or privacy risk associated with doing business with a particular vendor or other entity and for generating training material for such vendors. In various embodiments, the systems may automatically obtain and use any suitable information to assess such risk levels including, for example: (1) any security and/or privacy certifications held by the vendor; (2) the terms of one or more contracts between a particular entity and the vendor; (3) the results of one or more privacy impact assessments for the vendor; and/or (4) any other suitable data. The system may be configured to automatically approve or reject a particular vendor based on the assessed risk level associated with the vendor and this information may be automatically communicated to an entity considering doing business with the vendor and/or the vendor itself.

Abstract: In particular embodiments, a consent conversion optimization system is configured to test two or more test consent interfaces against one another to determine which of the two or more consent interfaces results in a higher conversion percentage (e.g., to determine which of the two or more interfaces lead to a higher number of end users and/or data subjects providing a requested level of consent for the creation, storage and use or cookies by a particular website). The system may, for example, analyze end user interaction with each particular test consent interface to determine which of the two or more user interfaces: (1) result in a higher incidence of a desired level of provided consent; (2) are easier to use by the end users and/or data subjects (e.g., take less time to complete, require a fewer number of clicks, etc.); (3) etc.

Abstract: An anonymous reporting system for use in reporting and following up on incidents, accidents, and the like. The system may be accessed via an Internet website. A reporting individual may select a type of incident to report. In one example, the reporting individual may select a level on anonymity and some, none or all of the individual's personal identification is displayed to the organization according to the selected level.

Abstract: A centralized data repository system, in various embodiments, is configured to provide a central data-storage repository (e.g., one or more servers, databases, etc.) for the centralized storage of personally identifiable information (PII) and/or personal data for one or more particular data subjects. In particular embodiments, the centralized data repository may enable the system to populate one or more data models (e.g., using one or more suitable techniques described above) substantially on-the-fly (e.g., as the system collects, processes, stores, etc. personal data regarding a particular data subject). In this way, in particular embodiments, the system is configured to maintain a substantially up-to-date data model for a plurality of data subjects (e.g., each particular data subject for whom the system collects, processes, stores, etc. personal data).

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: 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.