Data processing systems for data transfer risk identification and related methods

• US 10,783,256 B2
• Filed: 09/06/2019
• Issued: 09/22/2020
• Est. Priority Date: 06/10/2016
• Status: Active Grant

• Current Assignee: OneTrust LLC
• Original Assignee: OneTrust LLC
• Inventors: Brannon, Jonathan Blake, Jones, Kevin, Patton-Kuhl, Dylan D., Kveen, Bryan Patrick, Pavlichek, Nicholas Ian, Crawford, Eliza Rose
• Primary Examiner(s): Lagor, Alexander
• Assistant Examiner(s): Jackson, Jenise E
• Application Number:
  US16/563,754
• Publication Number:
  US 20200004968A1
• Time in Patent Office: 382 Days
• Field of Search: 726 1
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: G06F 21/606 by securing the transmission between two devices or processes
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06F 2221/034 Test or assess a computer or a system

Abstract

In particular embodiments, a Data Transfer Risk Identification System may be configured to analyze one or more data systems (e.g., data assets), identify data transfers between/among those systems, apply data transfer rules to each data transfer record, perform a data transfer assessment on each data transfer record based on the data transfer rules to be applied to each data transfer record, and calculate 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.

Claims

1. A computer-implemented data processing method for assessing a risk associated with one or more data transfers between two or more data assets, the method comprising:

identifying two or more data assets associated with a particular entity;

analyzing the two or more data assets to identify one or more data elements stored in the identified two or more data assets by using at least one data model to identify the one or more data elements stored in the identified two or more data assets, the at least one data model comprising;

a respective digital inventory for each of the two or more data assets, each respective digital inventory comprising transfer data associated with each respective data asset and one or more inventory attributes selected from the group consisting of;

one or more processing activities 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 two or more data assets; and

defining a plurality of physical locations and identifying, for each of the identified two 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 two or more data assets in different particular physical locations, wherein analyzing the identified one or more data elements to determine the one or more data transfers between the two or more data assets in different particular physical locations comprises analyzing the identified one or more data elements to determine one or more data transfers based at least in part on the transfer data;

creating a data transfer record for a data transfer 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 a greater risk than the threshold risk score; and

in response to determining that the risk score for the data transfer is a greater risk than the threshold risk score, taking one or more actions selected from the group consisting of;

providing the data transfer record to one or more individuals for review of the data transfer record; and

automatically terminating the data transfer.

2. The computer-implemented data processing method of claim 1, wherein the one or more actions comprise:

generating a secure link between one or more processors associated with the first asset in the first location and one or more processors associated with the second asset in the second location; and

providing the data transfer via the secure link between the one or more processors associated with the first asset in the first location and the one or more processors associated with the second asset in the second location.

3. The computer-implemented data processing method of claim 1, wherein 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 further comprises:

determining a weighting factor for each of the one or more data transfer risks;

determining a risk rating for each of the one or more data transfer risks; and

calculating the risk level for the data transfer based upon, for each respective one of the one or more data transfer risks, the risk rating for the respective data transfer risk and the weighting factor for the respective data transfer risk.

4. The computer-implemented data processing method of claim 1, wherein the one or more data transfer risks are selected from a group consisting of:

a source location of the first location of the data asset of the data transfer;

a destination location of the second location of the second data asset of the data transfer;

one or more type of data being transferred as part of the data transfer;

a time of the data transfer; and

an amount of data being transferred as part of the data transfer.

5. The computer-implemented data processing method of claim 1, wherein the set of data transfer rules are automatically updated.

6. The computer-implemented data processing method of claim 1, wherein the set of data transfer rules comprise:

one or more privacy law framework of the one or more of the first location and the second location; and

one or more entity framework of one or more of (i) an entity associated with the first data asset and (ii) an entity associated with the second data asset.

7. A computer-implemented data processing method for assessing a risk associated with one or more data transfers between two or more data assets, the method comprising:

identifying two or more data assets associated with a particular entity;

analyzing the two or more data assets to identify one or more data elements stored in the identified two or more data assets by using at least one data model to identify the one or more data elements stored in the identified two or more data assets, the at least one data model comprising;

a respective digital inventory for each of the two or more data assets, each respective digital inventory comprising transfer data associated with each respective data asset and one or more inventory attributes selected from the group consisting of;

one or more processing activities 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 two or more data assets; and

defining a plurality of physical locations and identifying, for each of the identified two 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 two or more data assets in different particular physical locations, wherein analyzing the identified one or more data elements to determine the one or more data transfers between the two or more data assets in different particular physical locations comprises analyzing the identified one or more data elements to determine one or more data transfers based at least in part on the transfer data;

accessing a data transfer record for a data transfer 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, wherein the set of data transfer rules comprise;

one or more privacy law frameworks of the one or more of the first location and the second location, and

one or more entity frameworks of one or more of (i) an entity associated with the first data asset and (ii) an entity associated with the second data asset;

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 a greater risk than the threshold risk score; and

in response to determining that the risk score for the data transfer is a greater risk than the threshold risk score, taking one or more actions selected from the group consisting of;

providing the data transfer record to one or more individuals for review of the data transfer record; and

automatically terminating the data transfer.

8. The computer-implemented data processing method of claim 7, wherein the one or more actions comprise:

generating a secure link between one or more processors associated with the first asset in the first location and one or more processors associated with the second asset in the second location; and

providing the data transfer via the secure link between the one or more processors associated with the first asset in the first location and the one or more processors associated with the second asset in the second location.

9. The computer-implemented data processing method of claim 7, wherein 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 further comprises:

determining a weighting factor for each of the one or more data transfer risks;

determining a risk rating for each of the one or more data transfer risks; and

calculating the risk level for the data transfer based upon, for each respective one of the one or more data transfer risks, the risk rating for the respective data transfer risk and the weighting factor for the respective data transfer risk.

10. The computer-implemented data processing method of claim 7, wherein the one or more data transfer risks are selected from a group consisting of:

a source location of the first location of the first data asset of the data transfer;

a destination location of the second location of the second data asset of the data transfer;

one or more type of data being transferred as part of the data transfer;

a time of the data transfer; and

an amount of data being transferred as part of the data transfer.

11. The computer-implemented data processing method of claim 7, wherein the set of data transfer rules are automatically updated.

12. A computer-implemented data processing method for assessing a risk associated with one or more data transfers between two or more data assets, the method comprising:

identifying two or more data assets associated with a particular entity;

analyzing the two or more data assets to identify one or more data elements stored in the identified two or more data assets by using at least one data model to identify the one or more data elements stored in the identified two or more data assets, the at least one data model comprising;

a respective digital inventory for each of the two or more data assets, each respective digital inventory comprising transfer data associated with each respective data asset and one or more inventory attributes selected from the group consisting of;

one or more processing activities 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 two or more data assets; and

defining a plurality of physical locations and identifying, for each of the identified two 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 two or more data assets in different particular physical locations, wherein analyzing the identified one or more data elements to determine the one or more data transfers between the two or more data assets in different particular physical locations comprises analyzing the identified one or more data elements to determine one or more data transfers based at least in part on the transfer data, wherein the one or more data transfers comprise a data transfer between;

a first asset of the two or more data assets in a first location of the plurality of physical locations;

and a second asset of the two or more data assets in a second location of the plurality of physical locations;

accessing a data transfer record for the data transfer between the first asset in the first location and the second asset in the 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 a greater risk than the threshold risk score; and

in response to determining that the risk score for the data transfer is a greater risk than the threshold risk score, taking one or more actions selected from the group consisting of;

providing the data transfer record to one or more individuals for review of the data transfer record; and

automatically terminating the data transfer.

13. The computer-implemented data processing method of claim 12, wherein the one or more data transfer risks are selected from a group consisting of:

a source location of the first location of the first data asset of the data transfer;

a destination location of the second location of the second data asset of the data transfer;

one or more type of data being transferred as part of the data transfer;

a time of the data transfer; and

an amount of data being transferred as part of the data transfer.

14. The computer-implemented data processing method of claim 12, wherein the one or more action comprises:

generating a secure link between one or more processors associated with the first asset in the first location and one or more processors associated with the second asset in the second location; and

providing the data transfer via the secure link between the one or more processors associated with the first asset in the first location and the one or more processors associated with the second asset in the second location.

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

transferring the data between the first asset in the first location and the second asset in the second location.