Data processing systems for generating and populating a data inventory

• US 10,437,860 B2
• Filed: 05/06/2019
• Issued: 10/08/2019
• Est. Priority Date: 06/10/2016
• Status: Active Grant

• Current Assignee: OneTrust LLC
• Original Assignee: OneTrust LLC
• Inventors: Barday, Kabir A., Karanjkar, Mihir S., Finch, Steven W., Browne, Ken A., Heard, Nathan W., Patel, Aakash H., Sabourin, Jason L., Daniel, Richard L., Patton-Kuhl, Dylan D., Brannon, Jonathan Blake
• Primary Examiner(s): Deng, Anna C
• Application Number:
  US16/404,439
• Publication Number:
  US 20190258654A1
• Time in Patent Office: 155 Days
• Field of Search: 717101
• CPC Class Codes: G06F 15/76 Architectures of general purpose stored program computers with program plugboard G06F15/08; multicomputers G06F15/16
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 16/288 Entity relationship models
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: G06F 40/186 Templates
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: H04L 63/04 for providing a confidential data exchange among entities communicating through data packet networks
• CPC Class Codes: H04L 63/101 Access control lists [ACL]
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 12/02 Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]

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.

Claims

1. A data processing data inventory population system comprising;

one or more processors;

computer memory; and

a computer-readable medium storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising;

accessing a data model of a plurality of data assets used in a collection or storage of personal data, the data model defining one or more electronic links between the plurality of data assets and storing a plurality of data inventories that define a plurality of inventory attributes for each of the plurality of data assets;

identifying a primary data asset, from the plurality of data assets, that collects or stores personal data of one or more data subjects;

identifying a first data inventory from the plurality of data inventories associated with the primary data asset, wherein the first data inventory comprises a plurality of fields that each define an inventory attribute of a plurality of inventory attributes of the primary data asset, wherein the plurality of inventory attributes of the primary data asset comprise;

a type of personal data collected or stored by the primary data asset, and

primary transfer data associated with the personal data and the primary data asset;

determining, for each of the plurality of fields, which of the plurality of fields are unpopulated inventory attribute fields;

determining, for each of one or more of the unpopulated inventory attribute fields, one or more attribute values, wherein determining one or more attribute values comprises;

identifying a transfer data asset from the plurality of data assets based at least in part on the primary transfer data,

modifying the first data inventory to include the transfer data asset and to indicate one or more types of information that the primary asset transfers to the transfer data asset; and

linking the primary data asset to the transfer data asset in the first data inventory;

in response to determining the one or more attribute values, modifying the first data inventory to include the one or more attribute values for each of the one or more unpopulated inventory attributes fields by populating at least one of the one or more unpopulated inventory attribute fields with at least one or more types of information that the primary asset transfers to the transfer data asset; and

storing the modified first data inventory in computer memory.

2. The data processing data inventory population system of claim 1, wherein:

the one or more attribute values comprise a second data asset;

the plurality of data assets do not comprise the second data asset; and

the computer-readable medium further stores computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising;

generating a second data inventory for the second data asset, the second data inventory storing one or more second data asset inventory attributes comprising;

the first data asset; and

a type of personal data collected or stored by the second data asset; and

modifying the data model to include the second data asset and the second data inventory;

digitally storing the modified data model in the computer memory; and

electronically linking the first data asset to the second data asset in the data model.

3. The data processing data inventory population system of claim 1, wherein:

the computer-readable medium further stores computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising;

using an application programming interface to access a third-party information technology system; and

integrating the data processing data inventory population system with the third-party information technology system via the application programming interface; and

determining the one or more attribute values comprises determining the one or more attribute values by retrieving the one or more attribute values from the third-party information technology system via the application programming interface.

4. The data processing data inventory population system of claim 1, wherein determining the one or more attribute values comprises determining the one or more attribute values using a combination of an application programming interface and data repository scanning system.

5. The data processing data inventory population system of claim 1, wherein determining the one or more attribute values comprises determining the one or more attribute values using one or more intelligent identity scanning means.

6. The data processing data inventory population system of claim 1, wherein the computer-readable medium further stores computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising analyzing the one or more data repositories to determine whether each particular data repository is part of an existing data model of data assets.

7. The data processing data inventory population system of claim 1, wherein the primary data asset is a data asset selected from The a group consisting of:

a software application for collecting the personal data; and

one or more computer servers for storing the personal data.

8. The data processing data inventory population system of claim 1, wherein:

the primary data asset is human resources computer software;

the transfer data asset is accounting computer software; and

the at least one or more types of information that the primary data asset transfers to the transfer data asset comprises financial information.

9. The data processing data inventory population system of claim 1, wherein a generation and population of the data model improves the functionality of an entity'"'"'s computing systems by enabling a streamlined retrieval of data and by eliminating redundant storage of identical data.

10. The data processing data inventory population system of claim 1, wherein the data processing data inventory population system is adapted for generating a visual representation of the data model.

11. A computer-implemented data processing method of feeding a data inventory with one or more data attribute values, the method comprising:

generating, by one or more processors, a data inventory for one or more data assets or one or more processing activities used in a collection or storage of one or more pieces of personal data, wherein generating the data inventory comprises;

generating the data inventory for a plurality of inter-related data assets utilized in processing one or more pieces of personal data by;

identifying a storage asset from the plurality of inter-related data assets, the storage asset storing the one or more pieces of personal data collected from one or more data subjects,

identifying a collection asset from the plurality of inter-related data assets, the collection asset transferring the one or more pieces of personal data to the storage asset,

identifying a transfer asset from the plurality of inter-related data assets, the transfer asset being an asset to which the storage asset transfers the one or more pieces personal data,

storing, in a computer memory, one or more storage asset inventory attributes, the one or more storage asset inventory attributes comprising a type of personal data stored by the storage asset,

storing, in the computer memory, one or more collection asset inventory attributes, the one or more collection asset inventory attributes comprising the one or more pieces of personal data that the collection asset transfers to the storage asset,

storing, in the computer memory, one or more transfer asset inventory attributes, the one or more transfer asset inventory attributes comprising the one or more pieces of personal data that the storage asset transfers to the transfer asset,

associating, in the computer memory, the storage asset with the one or more storage asset inventory attributes,

associating, in the computer memory, the collection asset with the one or more collection asset inventory attributes,

associating, in the computer memory, the transfer asset with the one or more transfer asset inventory attributes,

linking, in the computer memory, the collection asset to the storage asset, and the storage asset to the transfer asset, and

mapping the one or more pieces of personal data to the collection asset, the storage asset, and the transfer asset;

digitally storing, by the one or more processors, the data inventory in computer memory;

modifying, by the one or more processors, the data inventory to include one or more data fields that each define a respective data inventory attribute of a plurality of data inventory attributes;

determining, by the one or more processors, which of the one or more data fields are unpopulated data fields;

determining, by the one or more processors, a respective data inventory attribute value for each of the unpopulated data fields; and

in response to determining the respective data inventory attribute value for each of the unpopulated data fields, modifying each of the unpopulated data fields to include the respective data inventory attribute value; and

storing the modified data inventory in the computer memory.

12. The computer-implemented data processing method of claim 11, further comprising:

using an application programming interface to access a third-party information technology system;

receiving one or more pieces of data from the third-party information technology system; and

filling, by one or more processors, the unpopulated data fields based at least in part on the one or more pieces of data.

13. The computer-implemented data processing method of claim 11, the method further comprising:

scanning one or more data repositories on one or more remote computing devices to identify one or more data attributes;

analyzing the one or more data attributes and correlating metadata for the scanned one or more data repositories with particular attributes of the one or more data attributes discovered in the one or more data repositories; and

identifying each respective data inventory attribute value for each of the unpopulated data fields from the one or more data attributes.

14. The computer-implemented data processing method of claim 13, wherein the one or more remote computing devices comprise one or more remote computing devices that make up a network of computing devices associated with a particular organization.

15. The computer-implemented data processing method of claim 11, wherein determining the respective data inventory attribute value for each of the unpopulated data fields comprises determining at least one data inventory attribute selected from a group consisting of:

the one or more storage asset inventory attributes;

the one or more collection asset inventory attributes; and

the one or more transfer asset inventory attributes.

16. The computer-implemented data processing method of claim 11, the method further comprising:

determining one or more individuals with access to the one or more pieces of personal data stored in the storage asset; and

modifying the one or more storage asset inventory attributes to include access data that includes the one or more individuals with access to the one or more pieces of personal data.

17. The computer-implemented data processing method of claim 11, the method further comprising:

determining, by one or more processors, a first location of the storage asset;

determining, by one or more processors, a second location of the transfer asset;

analyzing, by one or more processors, the transfer of the one or more pieces of personal data from the first location to the second location to determine, based at least in part on the first location and the second location, whether one or more transfer guidelines apply to the transfer; and

in response to determining that the one or more transfer guidelines apply to the transfer, modifying the one or more transfer asset inventory attributes to include the one or more transfer guidelines.

18. The computer-implemented data processing method of claim 11, wherein the plurality of inter-related data assets are associated with a particular data processing activity.

19. The computer-implemented data processing method of claim 11, the method further comprising:

scanning one or more data repositories on the one or more data assets to identify one or more data attributes; and

identifying each respective data inventory attribute value for each of the unpopulated data fields from the one or more data attributes.

20. The computer-implemented data processing method of claim 11, wherein:

the collection asset is expense information collection computer software;

the one or more collection asset inventory attributes comprise expense information;

the primary data asset is human resources computer software;

the transfer data asset is accounting computer software; and

the one or more transfer asset inventory attributes comprise financial information.