IP Library › Granted Patent US 12,381,915
Granted Patent B2
US 12,381,915 · App. 17/749,732 · Granted Aug 5, 2025

Data processing systems and methods for performing assessments and monitoring of new versions of computer code for compliance

Inventors: Kabir A. Barday (Atlanta, GA); Mihir S. Karanjkar (Marietta, GA); Steven W. Finch (Kennesaw, GA); Ken A. Browne (Johns Creek, GA); Aakash H. Patel (Norcross, GA); Jason L. Sabourin (Brookhaven, GA); Richard L. Daniel (Atlanta, GA); Dylan D. Patton-Kuhl (Atlanta, GA); Jonathan Blake Brannon (Smyrna, GA)
Assignee: OneTrust, LLC
H04L63/20G06Q10/06H04L63/04
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Quick Facts
Patent No.
US 12,381,915
App. No.
17/749,732
Granted
Aug 5, 2025
Kind
B2
Abstract

In various embodiments, a data map generation system is configured to receive a request to generate a privacy-related data map for particular computer code, and, at least partially in response to the request, determine a location of the particular computer code, automatically obtain the particular computer code based on the determined location, and analyze the particular computer code to determine privacy-related attributes of the particular computer code, where the privacy-related attributes indicate types of personal information that the particular computer code collects or accesses. The system may be further configured to generate and display a data map of the privacy-related attributes to a user.

Claims (43)

1. A method comprising:

monitoring, by computing hardware, a location where computer code is located;

identifying, by the computing hardware, a new instance of the computer code at the location;

comparing, by the computing hardware, the new instance of the computer code with a previous instance of the computer code to identify a change has been made to the computer code;

responsive to identifying the change, analyzing, by the computing hardware, the new instance of the computer code to determine an attribute of the new instance of the computer code, wherein the attribute identifies new functionality that the new instance of the computer code performs over the previous instance of the computer code;

providing, by the computing hardware, a graphical user interface for display, wherein the graphical user interface is configured to prompt for information regarding the new functionality; and

communicating, by the computing hardware, the information regarding the new functionality for use in conducting an assessment of the computer code.

2. The method of claim 1 , wherein the new functionality is configured to perform at least one of (i) collecting or accessing personal data or (ii) artificial intelligence.

3. The method of claim 2 , wherein analyzing the new instance of the computer code to determine the attribute comprises detecting use by the computer code of at least one of a location-based capability to detect a location of a user computing device, an encryption capability, a call to third party computer code, a communication log, or a cookie to track user behavior.

4. The method of claim 2 , wherein analyzing the new instance of the computer code to determine the attribute comprises detecting performance by the computer code of at least one of an image analysis, speech recognition, use of a machine-learning algorithm, pattern recognition, or voice-to-text conversion.

5. The method of claim 2 , wherein the information identifies at least one of a reason or purpose for the new functionality, data that is used in training the new functionality, a procedure used in maintaining the new functionality, or a procedure used in monitoring a performance of the new functionality.

6. The method of claim 2 further comprising:

determining, by the computing hardware and based on the information, at least one of a type of the personal data or a type of the artificial intelligence; and

determining, by the computing hardware and based on at least one of the type of the personal data or the type of the artificial intelligence, a risk rating associated with the computer code performing the new functionality, wherein the risk rating is communicated along with the information.

7. The method of claim 6 , wherein the risk rating provides a measure of the computer code performing the new functionality in at least one of an unintended manner, an undesired manner, or an inappropriate manner as defined by an entity associated with the computer code.

8. A system comprising:

a non-transitory computer-readable medium storing instructions; and

a processing device communicatively coupled to the non-transitory computer-readable medium,

wherein, the processing device is configured to execute the instructions and thereby perform operations, upon a new instance of a computer code being identified at a location being monitored where the computer code is located, comprising:

comparing the new instance of the computer code with a previous instance of the computer code to identify a change has been made to the computer code;

responsive to identifying the change, analyzing the new instance of the computer code to determine an attribute of the new instance of the computer code, wherein the attribute identifies new functionality that the new instance of the computer code performs over the previous instance of the computer code;

providing a graphical user interface for display, wherein the graphical user interface is configured to prompt for information regarding the new functionality; and

communicating the information regarding the new functionality for use in conducting an assessment of the computer code.

9. The system of claim 8 , wherein the new functionality is configured to perform at least one of (i) collecting or accessing personal data or (ii) artificial intelligence.

10. The system of claim 9 , wherein analyzing the new instance of the computer code to determine the attribute comprises detecting use by the computer code of at least one of a location-based capability to detect a location of a user computing device, an encryption capability, a call to third party computer code, a communication log, or a cookie to track user behavior.

11. The system of claim 9 , wherein analyzing the new instance of the computer code to determine the attribute comprises detecting performance by the computer code of at least one of an image analysis, speech recognition, use of a machine-learning algorithm, pattern recognition, or voice-to-text conversion.

12. The system of claim 9 , wherein the information identifies at least one of a reason or purpose for the new functionality, data that is used in training the new functionality, a procedure used in maintaining the new functionality, or a procedure used in monitoring a performance of the new functionality.

13. The system of claim 9 , wherein the operations further comprise:

determining, based on the information, at least one of a type of the personal data or a type of the artificial intelligence; and

determining, based on at least one of the type of the personal data or the type of the artificial intelligence, a risk rating associated with the computer code performing the new functionality, wherein the risk rating is communicated along with the information.

14. The system of claim 13 , wherein the risk rating provides a measure of the computer code performing the new functionality in at least one of an unintended manner, an undesired manner, or an inappropriate manner as defined by an entity associated with the computer code.

15. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by processing hardware, configure the processing hardware to perform operations, upon a new instance of a computer code being identified at a location being monitored where the computer code is located, comprising:

comparing the new instance of the computer code with a previous instance of the computer code to identify a change has been made to the computer code;

responsive to identifying the change, analyzing the new instance of the computer code to determine an attribute of the new instance of the computer code, wherein the attribute identifies new functionality that the new instance of the computer code performs over the previous instance of the computer code;

providing a graphical user interface for display, wherein the graphical user interface is configured to prompt for information regarding the new functionality; and

communicating the information regarding the new functionality for use in conducting an assessment of the computer code.

16. The non-transitory computer-readable medium of claim 15 , wherein the new functionality is configured to perform at least one of (i) collecting or accessing personal data or (ii) artificial intelligence.

17. The non-transitory computer-readable medium of claim 16 , wherein analyzing the new instance of the computer code to determine the attribute comprises detecting use by the computer code of at least one of a location-based capability to detect a location of a user computing device, an encryption capability, a call to third party computer code, a communication log, or a cookie to track user behavior.

18. The non-transitory computer-readable medium of claim 16 , wherein analyzing the new instance of the computer code to determine the attribute comprises detecting performance by the computer code of at least one of an image analysis, speech recognition, use of a machine-learning algorithm, pattern recognition, or voice-to-text conversion.

19. The non-transitory computer-readable medium of claim 16 , wherein the information identifies at least one of a reason or purpose for the new functionality, data that is used in training the new functionality, a procedure used in maintaining the new functionality, or a procedure used in monitoring a performance of the new functionality.

20. The non-transitory computer-readable medium of claim 16 , wherein the operations further comprise:

determining, based on the information, at least one of a type of the personal data or a type of the artificial intelligence; and

determining, based on at least one of the type of the personal data or the type of the artificial intelligence, a risk rating associated with the computer code performing the new functionality, wherein the risk rating is communicated along with the information.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 2, 2024
From: BARDAY, KABIR A.; KARANJKAR, MIHIR S.; FINCH, STEVEN W.; BROWNE, KEN A.; PATEL, AAKASH H.; SABOURIN, JASON L.; DANIEL, RICHARD L.; PATTON-KUHL, DYLAN D.; BRANNON, JONATHAN BLAKE
To: ONETRUST, LLC
Reel/Frame 068775/0532 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 2, 2024
From: BARDAY, KABIR A.; KARANJKAR, MIHIR S.; FINCH, STEVEN W.; SABOURIN, JASON L.; BROWNE, KEN A.; PATEL, AAKASH H.; DANIEL, RICHARD L.; PATTON-KUHL, DYLAN D.
To: ONETRUST, LLC
Reel/Frame 068775/0674 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 2, 2024
From: BRANNON, JONATHAN BLAKE
To: ONETRUST, LLC
Reel/Frame 068775/0722 →
Continuity (13)
Continuation In Part 17334948 · May 31, 2021
Continuation In Part 17034355 · Sep 28, 2020
Continuation In Part 16798818 · Feb 24, 2020
Continuation 16404405 · May 6, 2019
Continuation 16041468 · Jul 20, 2018
Continuation In Part 15883041 · Jan 29, 2018
Continuation 15671073 · Aug 7, 2017
Division 15254901 · Sep 1, 2016
Provisional Application 62537839 · Jul 27, 2017
Provisional Application 62360123 · Jul 8, 2016
Provisional Application 62353802 · Jun 23, 2016
Provisional Application 62348695 · Jun 10, 2016
Related Publication 20220286482A1 · Sep 8, 2022
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