Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
First Claim
1. A computer-implemented data processing method for generating a visualization of one or more data transfers between one or more data assets, the method comprising:
- identifying one or more data assets associated with a particular entity;
analyzing the one or more data assets to identify one or more data elements stored in the identified one or more data assets;
defining a plurality of physical locations and identifying, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations;
analyzing 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;
determining one or more regulations that relate to the one or more data transfers;
generating a visual representation of the one or more data transfers based at least in part on the one or more regulations; and
using at least one data model to identify the one or more data elements stored in the one or more identified data assets, the data model comprising;
a respective digital inventory for each of the one or more data assets, each respective digital inventory comprising one or more inventory attributes selected from the group consisting of;
one or more processing activities associated with each respective data asset;
transfer data associated with each respective data asset; and
one or more pieces of personal data associated with each respective data asset; and
a data map identifying one or more electronic associations between at least two of the one or more data assets, wherein the method further comprises;
receiving an attribute value for a particular inventory attribute of the one or more inventory attributes;
modifying the respective digital inventory into a modified digital inventory that includes the attribute value; and
storing the modified digital inventory as part of the data model.
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Accused Products
Abstract
In particular embodiments, a Cross-Border Visualization Generation System is configured to analyze one or more data systems (e.g. data assets), identify data transfers between/among those systems, determine whether any particular regulations apply to the identified data transfers, and generate a visual representation of physical locations of the one or more data systems and the one or more data transfers between them. The system may, for example, color-code one or more lines or indicators showing a transfer of data between a first and second data system The one or more indicators may convey, for example: (1) whether the data transfer is secure; (2) a type or level of security that is applied to the transfers; (3) one or more regulations that apply to the transfer, and/or (4) any other suitable information related to the transfer of particular data between the first and second data system.
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Citations
18 Claims
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1. A computer-implemented data processing method for generating a visualization of one or more data transfers between one or more data assets, the method comprising:
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identifying one or more data assets associated with a particular entity; analyzing the one or more data assets to identify one or more data elements stored in the identified one or more data assets; defining a plurality of physical locations and identifying, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations; analyzing 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; determining one or more regulations that relate to the one or more data transfers; generating a visual representation of the one or more data transfers based at least in part on the one or more regulations; and using at least one data model to identify the one or more data elements stored in the one or more identified data assets, the data model comprising; a respective digital inventory for each of the one or more data assets, each respective digital inventory comprising one or more inventory attributes selected from the group consisting of; one or more processing activities associated with each respective data asset; transfer data associated with each respective data asset; and one or more pieces of personal data associated with each respective data asset; and a data map identifying one or more electronic associations between at least two of the one or more data assets, wherein the method further comprises; receiving an attribute value for a particular inventory attribute of the one or more inventory attributes; modifying the respective digital inventory into a modified digital inventory that includes the attribute value; and storing the modified digital inventory as part of the data model. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-implemented data processing method for generating a visualization of one or more data transfers between one or more data assets, the method comprising:
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identifying one or more data assets associated with a particular entity; analyzing the one or more data assets to identify one or more data elements stored in the identified one or more data assets; defining a plurality of physical locations and identifying, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations; analyzing 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; determining one or more regulations that relate to the one or more data transfers; generating a visual representation of the one or more data transfers based at least in pan on the one or more regulations; generating a visual representation of a map comprising the plurality of physical locations; superimposing an indicia for each of the one or more data assets that indicates the respective particular physical location of the plurality of physical locations for each of the one or more data assets; and generating a visual indication of the one or more data transfers between the one or more data assets. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A computer-implemented data processing method for assessing a risk associated with one or more data transfers between one or more data assets, the method comprising:
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creating a data transfer record for a transfer of data between a first asset in a first location and a second asset in a second location; accessing a set of data transfer rules that are associated with the data transfer record; performing a data transfer assessment based at least in part on applying the set of data transfer rules on the data transfer record; identifying one or more data transfer risks associated with the data transfer record, based at least in part on the data transfer assessment; calculating 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; and digitally storing the risk score for the data transfer; comparing the risk score for the data transfer to a threshold risk score; determining that the risk score for the data transfer is greater than the threshold risk score; and in response to determining that the risk score for the data transfer is greater than the threshold risk score, terminating the data transfer. - View Dependent Claims (15, 16, 17)
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18. A computer-implemented data processing method for assessing a risk associated with one or more data transfers between one or more data assets, the method comprising:
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creating a data transfer record for a transfer of data between a first asset in a first location and a second asset in a second location; accessing a set of data transfer rules that are associated with the data transfer record; performing a data transfer assessment based at least in part on applying the set of data transfer rules on the data transfer record; identifying one or more data transfer risks associated with the data transfer record, based at least in part on the data transfer assessment; calculating 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; digitally storing the risk score for the data transfer; comparing the risk score for the data transfer to a threshold risk score; determining that the risk score for the data transfer is less than the threshold risk score; and in response to determining that the risk score for the data transfer is less than the threshold risk score, processing the data transfer between the first asset in the first location and the second asset in the second location.
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Specification