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 system and method for determining consent user interface validity for a provided consent user interface of a web form presenting consent information, comprising: accessing a consent user interface presented on a web form; determining one or more configuration attributes of the consent user interface; accessing one or more privacy regulations associated with presenting consent information; comparing the one or more configuration attributes of the consent user interface to each of the one or more privacy regulations; determining whether the consent user interface is compliant with each of the one or more privacy regulations; and in response to determining that the consent user interface is not compliant with one or more privacy regulations, flagging the consent user interface.

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 system and method for determining consent user interface validity for a provided consent user interface of a web form presenting consent information, comprising: accessing a consent user interface presented on a web form; determining one or more configuration attributes of the consent user interface; accessing one or more privacy regulations associated with presenting consent information; comparing the one or more configuration attributes of the consent user interface to each of the one or more privacy regulations; determining whether the consent user interface is compliant with each of the one or more privacy regulations; and in response to determining that the consent user interface is not compliant with one or more privacy regulations, flagging the consent user interface.

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 technique includes receiving, by a processor, a security alert that is generated in response to one or more events occurring in a computer system. The technique includes applying, by the processor, machine learning to the security alert to predict a probability that the security alert will be escalated to an incident; and displaying an output on a display to guide processing of the security alert based on the predicted probability.

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: 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: 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: 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: 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: In particular embodiments, a consent notice configuration determination system may be configured to: (1) scan a particular website from a plurality of different locations; (2) identify one or more types of technologies available on the particular website for individuals accessing the particular website from each of the plurality of different locations; (3) determine, for each of the plurality of different locations, based on a global set of databases, legal/regulatory guidance, etc. and the one or more types of technologies, particular legal and industry requirements for each of the plurality of different locations; and (4) automatically configure, for each of the plurality of different locations, a consent interface for the particular website for each of the plurality of different locations based at least in part on the one or more types of technologies and the global set of databases.

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: 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: 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: A technique includes receiving, by a processor, a security alert that is generated in response to one or more events occurring in a computer system. The technique includes applying, by the processor, machine learning to the security alert to predict a probability that the security alert will be escalated to an incident; and displaying an output on a display to guide processing of the security alert based on the predicted probability.