Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for managing computing systems to classify and modify digital content items to satisfy digital data requirements of data policies. For example, the content classification system validates, enforces, and remediates digital data content corresponding to digital data requirements of a data policy based on data types covered by the data policy. The disclosed systems generate classifications for digital content items by accessing digital content items and generating mappings between the digital content items and a data policy. The disclosed systems utilize the mappings and digital data requirements of the data policy to determine whether the digital content items violate one or more elements of the data policy. The disclosed systems can perform various downstream operations to remediate the data policy violations, such as by causing various computing devices to modify the violating digital content items.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for determining a categorization for each tracking tool that executes on a particular webpage based on a variety of criteria, such as the purpose of the tracking tool and its source script. The system may compare the characteristics of tracking tools on a webpage to a database of known tracking tools to determine the appropriate categorization. When a user visits the webpage, the system analyzes these categories and determines whether the tracking tool should be permitted to run based on the categories and/or other criteria, such as whether the user has consented to the use of that type of tracking tool.

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: Embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for verifying the identity of a data subject. In one embodiment, a method is provided comprising: receiving, via a browser, a consumer rights request for a data subject for performing an action with regard to personal data associated with the data subject; detecting a state of the browser indicating a location; identifying a law based on the location; determining a level of identity verification required based on the law; generating, based on the level, a GUI by configuring a first prompt on the GUI configured for receiving input for a first type of identity verification; transmitting an instruction to present the GUI; receiving the input for the first type of identity verification; verifying the identity of the data subject based on the input; and responsive to verifying the identity, causing performance of the action.

Abstract: In general, various aspects provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing data discovery on a target computing system. In various aspects, a third party computing connects, via a public data network, to an edge node of the target computing system and instructs the target computing system to execute jobs to discover target data stored in data repositories in a private data network in the target computing system. In some aspects, the third party computing system may schedule the jobs on the target computing system based on computing resource availability on the target computing system.

Abstract: Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for implementing and managing access to particular data based on access controls for implementing purpose restrictions and/or consent restrictions.

Abstract: Embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for verifying the identity of a data subject. In one embodiment, a method is provided comprising: receiving, via a browser, a consumer rights request for a data subject for performing an action with regard to personal data associated with the data subject; detecting a state of the browser indicating a location; identifying a law based on the location; determining a level of identity verification required based on the law; generating, based on the level, a GUI by configuring a first prompt on the GUI configured for receiving input for a first type of identity verification; transmitting an instruction to present the GUI; receiving the input for the first type of identity verification; verifying the identity of the data subject based on the input; and responsive to verifying the identity, causing performance of the action.

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: The present invention relates to solid forms of the insecticide of formula (I): compositions comprising the solid forms and methods of their use as insecticides.

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: The present invention relates to solid forms of the insecticide of formula I: compositions comprising the solid forms and methods of their use as insecticides.

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 aspects, a data transfer discovery and analysis system may query an entity computing system to identify access credentials for third-party computing systems and scan each access credential to determine associated permissions provided by each access credential on the entity computing system. The data transfer discovery and analysis system may further inspect access logs to identify actual data transfers between the entity computing system and third-party computing systems as well as other access activity associated with each of the credentials. The system can generate and store a mapping of all actual data transfers (e.g., based on the access log data) and potential data transfers (e.g., based on particular access permissions) between/among the entity computing system and the third-party computing systems.

Abstract: Power amplifier modules (PAMs) having topside cooling interfaces are disclosed, as are methods for fabricating such PAMs. In embodiments, the method includes attaching the RF power die to a die support-surface of a module substrate. The RF power die is attached to the module substrate in an inverted orientation such that a frontside of the RF power die faces the module substrate. When attaching the RF power die to the module substrate, a frontside input/output interface of the RF power die is electrically coupled to corresponding substrate interconnect features of the module substrate. The method further includes providing a primary heat extraction path extending from the transistor channel of the RF power die to a topside cooling interface of the PAM in a direction opposite the module substrate.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for determining a categorization for each tracking tool that executes on a particular webpage based on a variety of criteria, such as the purpose of the tracking tool and its source script. The system may compare the characteristics of tracking tools on a webpage to a database of known tracking tools to determine the appropriate categorization. When a user visits the webpage, the system analyzes these categories and determines whether the tracking tool should be permitted to run based on the categories and/or other criteria, such as whether the user has consented to the use of that type of tracking tool.

Abstract: A device assembly includes a functional substrate having one or more electronic components formed there. The functional substrate has a cavity extending from a first surface toward a second surface of the functional substrate at a location that lacks the electronic components. The device assembly further includes a semiconductor die placed within the cavity with a pad surface of the semiconductor die being opposite to a bottom of the cavity. The functional substrate may be formed utilizing a first fabrication technology and the semiconductor die may be formed utilizing a second fabrication technology that differs from the first fabrication technology.

Abstract: Power amplifier modules (PAMs) having topside cooling interfaces are disclosed, as are methods for fabricating such PAMs. In embodiments, the method includes attaching the RF power die to a die support-surface of a module substrate. The RF power die is attached to the module substrate in an inverted orientation such that a frontside of the RF power die faces the module substrate. When attaching the RF power die to the module substrate, a frontside input/output interface of the RF power die is electrically coupled to corresponding substrate interconnect features of the module substrate. The method further includes providing a primary heat extraction path extending from the transistor channel of the RF power die to a topside cooling interface of the PAM in a direction opposite the module substrate.

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: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a repository of metadata-based recommendations to classify data sources using metadata from the data sources. For example, the disclosed systems can generate a repository of metadata-based recommendations that indicate recommended classifications for objects within data sources through metadata associated with a data source schema. In some instances, the disclosed systems identify metadata from a data source schema associated with the data source. Subsequently, the disclosed systems can match the identified metadata to a metadata-based recommendation via metadata mappings in the metadata-based recommendation repository to select a metadata-based recommendation.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for determining a categorization for each tracking tool that executes on a particular webpage based on a variety of criteria, such as the purpose of the tracking tool and its source script. The system may compare the characteristics of tracking tools on a webpage to a database of known tracking tools to determine the appropriate categorization. When a user visits the webpage, the system analyzes these categories and determines whether the tracking tool should be permitted to run based on the categories and/or other criteria, such as whether the user has consented to the use of that type of tracking tool.