Abstract: A particular organization may undertake a plurality of different privacy campaigns, processing activities, etc. that involve the collection and storage of personal data. The system may be configured to collect customer satisfaction data, for example: (1) as part of a data subject access request submission form; (2) when providing one or more results of a data subject access request to the data subject; or (3) at any other suitable time. The customer satisfaction data may be collected in the form of a suitable survey, free-form response questionnaire, etc. (e.g., thumbs up vs. thumbs down, etc.). Additionally, by integrating a feedback survey with the data subject access request process, the system may increase a number of consumers that provide responses to the feedback survey. In particular embodiments, the system is configured to require the requestor to respond to the feedback survey prior to submitting the data subject access request.

Abstract: Data processing systems and methods for: (1) receiving from a first set of users, respective answers for question/answer pairings regarding a product's proposed design; (2) using the question/answer pairings to prepare an initial privacy impact assessment for the product; (3) displaying the plurality of question/answer pairings to a second set of users; (4) receiving recommended steps to be implemented as part of the design of the product to address any privacy-related concerns identified in the initial privacy impact assessment; and (5) after the tasks have been completed, generating a report documenting that: (a) the initial privacy assessment has been conducted for the product; (b) one or more revisions have been made to the product to facilitate the compliance of the product with the one or more privacy standards; and (c) an updated privacy assessment has been conducted for the product.

Abstract: Data processing systems and methods, according to various embodiments, perform privacy assessments and monitor new versions of computer code for updated features and conditions that relate to compliance with privacy standards. The systems and methods may obtain a copy of computer code (e.g., a software application or code associated with a website) that collects and/or uses personal data, and then automatically analyze the computer code to identify one or more privacy-related attributes that may impact compliance with applicable privacy standards. The system may be adapted to monitor one or more locations (e.g., an online software application marketplace, and/or a specified website) to determine whether the application or website has changed. The system may, after analyzing the computer code, display the privacy-related attributes, collect information regarding the attributes, and automatically notify one or more designated individuals (e.g.

Abstract: In particular embodiments, in response a data subject submitting a request to delete their personal data from an organization's systems, the system may: (1) automatically determine where the data subject's personal data is stored; and (2) in response to determining the location of the data (which may be on multiple computing systems), automatically facilitate the deletion of the data subject's personal data from the various systems (e.g., by automatically assigning a plurality of tasks to delete data across multiple business systems to effectively delete the data subject's personal data from the systems).

Abstract: A privacy compliance monitoring system, according to particular embodiments, is configured to track a user's system inputs regarding a particular privacy campaign in order to monitor any potential abnormal or misleading system input. In various embodiments, the system is configured to track changes to a user's system inputs, monitor an amount of time it takes a user to provide the system inputs, determine a number of times that a user changes a system input and/or take other actions to determine whether a particular system input may be abnormal. In various embodiments, the system is configured to automatically flag one or more system inputs based on determining that the user may have provided an abnormal input.

Abstract: In particular embodiments, in response a data subject submitting a request to delete their personal data from an organization's systems, the system may: (1) automatically determine where the data subject's personal data is stored; (2) in response to determining the location of the data (which may be on multiple computing systems), automatically facilitate the deletion of the data subject's personal data from the various systems; and (3) determine a cause of the request to identify one or more processing activities or other sources that result in a high number of such requests.

Abstract: A privacy management system that is configured to process one or more data subject access requests and further configured to: (1) enable a data protection officer to submit an audit request; (2) perform an audit based on one or more parameters provided as part of the request (e.g., one or more parameters such as how long an average request takes to fulfill, one or more parameters related to logging and/or tracking data subject access requests and/or complaints from one or more particular customer advocacy groups, individuals, NGOs, etc.); and (3) provide one or more audit results to the officer (e.g., by displaying the results on a suitable display screen).

Abstract: In particular embodiments, a Data Access Webform Crawling System is configured to: (1) identify a webform used to collect one or more pieces of personal data; (2) robotically complete the identified webform; (3) analyze the completed webform to determine one or more processing activities that utilize the one or more pieces of personal data collected by the webform; (4) identify a first data asset in the data model that is associated with the one or more processing activities; (5) modify a data inventory for the first data asset in the data model to include data associated with the webform; and (6) modify the data model to include the modified data inventory for the first data asset.

Abstract: A privacy management system that is adapted for, in the course of processing a particular data subject access request, automatically determining a type of the data subject access request, such as: (1) a request to delete personal data of the requestor that is being stored by a particular organization; (2) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (3) a request to update personal data of the requestor that is being stored by the particular organization; and (4) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways. After making this determination, the system may determine, based on the determined type of data subject access request, a particular workflow to follow in processing the data subject access request, and then execute the determined workflow.

Abstract: Various Data Subject Access Request (DSAR) processing systems are adapted for presenting a first webform on a first website, the first webform being adapted to receive DSAR's and to route the requests to a first designated individual for processing; presenting a second webform on a second website, the second webform being adapted to receive DSAR's and to route the requests to a second designated individual for processing; receiving, via the first webform, a first DSAR; at least partially in response to the receiving the first DSAR, automatically routing the first DSAR to the first designated individual for handling; receiving, via the second webform, a second DSAR; at least partially in response to the receiving the second DSAR, automatically routing the second DSAR to the second designated individual for handling; and communicating a status of both the first DSAR and the second DSAR via a single user interface.

Abstract: 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.). The system may be configured to identify particular data assets and/or personal data in data repositories using any suitable intelligent identity scanning technique.

Abstract: 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.

Abstract: 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.

Abstract: In various embodiments, a Data Model Adaptive Execution System may be configured to take one or more suitable actions to remediate an identified risk in view of one or more regulations (e.g., one or more legal regulations, one or more binding corporate rules, etc.). For example, in order to ensure compliance with one or more standards related to the collection and/or storage of personal data, an entity may be required to modify one or more aspects of a way in which the entity collects, stores, and/or otherwise processes personal data (e.g., in response to a change in a legal or other requirement). In order to identify whether a particular change or other risk trigger requires remediation, the system may be configured to assess a relevance of the risk posed by the risk and identify one or more processing activities or data assets that may be affected by the risk.

Abstract: 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.

Abstract: 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.

Abstract: A privacy compliance measurement system, according to particular embodiments, is configured to determine compliance with one or more privacy compliance requirements by an organization or sub-group of the organization. In various embodiments, the system is configured to determine a privacy maturity rating for each of a plurality of sub-groups within an organization. In some embodiments, the privacy maturity rating is based at least in part on: (1) a frequency of risks or issues identified with Privacy Impact Assessments (PIAs) performed or completed by the one or sub-groups; (2) a relative training level of members of the sub-groups with regard to privacy related matters; (3) a breadth and amount of personal data collected by the sub-groups; and/or (4) etc. In various embodiments, the system is configured to automatically modify one or more privacy campaigns based on the determined privacy maturity ratings.

Abstract: In various embodiments, a data subject request fulfillment system may be adapted to prioritize the processing of data subject access requests based on metadata of the data subject access request. For example, the system may be adapted for: (1) in response to receiving a data subject access request, obtaining metadata regarding the data subject; (2) using the metadata to determine whether a priority of the data subject access request should be adjusted based on the obtained metadata; and (3) in response to determining that the priority of the data subject access request should be adjusted based on the obtained metadata, adjusting the priority of the data subject access request.

Abstract: 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.

Abstract: A privacy compliance monitoring system, according to particular embodiments, is configured to track a user's system inputs and responses to questions regarding a particular privacy campaign in order to monitor any potential abnormal or misleading response. In various embodiments, the system is configured to track changes to a user's responses, monitor an amount of time it takes a user to respond, determine a number of times that a user changes a response and/take other actions to determine whether a particular response may be abnormal. In various embodiments, the system is configured to automatically flag one or more questions based on determining that the user may have provided an abnormal response.