Conducting software testing using dynamically masked data

Patent metadata

Field	Value
Publication number	US-11822467-B2
Application number	US-202217713854-A
Country	US
Kind code	B2
Filing date	Apr 5, 2022
Priority date	Oct 12, 2020
Publication date	Nov 21, 2023
Grant date	Nov 21, 2023

Abstract

Aspects of the disclosure relate to conducting software testing using dynamically masked data. In some embodiments, a computing platform may receive, from a developer computing platform, a test execution request that includes a test code for execution. Subsequently, the computing platform may establish a secure connection to an enterprise data storage database. Upon establishing the secure connection, the computing platform may request confidential data from the enterprise data storage database in connection the test execution request. Thereafter, the computing platform mat execute the test code, which may include receiving encrypted confidential data from the enterprise data storage, decrypting the confidential data, and plugging the confidential data into the test code. Upon completing execution of the test code, the computing platform may delete the confidential data from the computing platform, terminate the secure connection to the enterprise data storage database, and send test code output results to the developer computing platform.

First claim

What is claimed is:

1. A computing platform, comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor; and
memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
establish a secure connection to an enterprise data storage database;
upon establishing the secure connection, request confidential data from the enterprise data storage database in connection a test code execution request;
execute a test code associated with the test code execution request, wherein executing the test code using the confidential data;
upon completing execution of the test code, delete the confidential data from the computing platform;
terminate the secure connection to the enterprise data storage database;
perform a confidential data verification check on test code output results;
upon detecting confidential data in the test code output results, masking the confidential data in the test code output results to create masked test code output results, wherein masking the confidential data includes training a machine learning classification model to the test code output results to identify components of confidential data and generating a pseudo-real dataset using the machine learning classification model to replace components of confidential data and create masked test code output results; and
send, via the communication interface, to a developer computing platform, masked test code output results.

2. The computing platform of claim 1 , wherein executing the test code includes receiving encrypted confidential data from the enterprise data storage database, decrypting the confidential data, and plugging the confidential data into the test code.

3. The computing platform of claim 1 , wherein establishing the secure connection to the enterprise data storage database occurs upon receiving, via the communication interface, the test code execution request from a developer computing platform.

4. The computing platform of claim 3 , wherein receiving the test code execution request includes receiving one or more parameters for executing the test code, and wherein the one or more parameters include as least one of: a programming language, a framework, a programming dependency, a relying subsystem, a cache parameter, or a container environment.

5. The computing platform of claim 1 , wherein executing the test code includes building and compiling the test code on the computing platform based on information received from the developer computing platform.

6. The computing platform of claim 1 , wherein requesting confidential data from the enterprise data storage database includes generating a request for confidential information associated with the code test execution request.

7. The computing platform of claim 1 , wherein executing the test code includes compiling, by the enterprise data storage database, confidential data for transmission, encrypting the confidential data upon being transmitted by the enterprise data storage database, decrypting the confidential data upon being received by the computing, and plugging the confidential data into the test code.

8. The computing platform of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to receive a selected trusted execution environment, and wherein executing the test code includes executing the test code on the selected trusted execution environment.

9. The computing platform of claim 1 , wherein sending the test code output results includes compiling error information.

10. The computing platform of claim 1 , wherein sending the masked test code output results includes providing a user interface display on a computing device associated with the developer computing platform, and wherein the user interface display includes information related to the masked test code output results.

11. A method, comprising:
at a computing platform comprising at least one processor, a communication interface, and memory:
establishing a secure connection to an enterprise data storage database;
upon establishing the secure connection, requesting confidential data from the enterprise data storage database in connection a test code execution request;
executing a test code associated with the test code execution request;
upon completing execution of the test code, deleting the confidential data from the computing platform;
performing a confidential data verification check on test code output results;
upon detecting confidential data in the test code output results, masking the confidential data in the test code output results to create masked test code output results wherein masking the confidential data includes training a machine learning classification model to the test code output results to identify components of confidential data and generating a pseudo-real dataset using the machine learning classification model to replace components of confidential data and create masked test code output results; and
sending, via the communication interface, to a developer computing platform, masked test code output results.

12. The method of claim 11 , wherein executing the test code includes receiving encrypted confidential data from the enterprise data storage database, decrypting the confidential data, and plugging the confidential data into the test code.

13. The method of claim 11 , wherein establishing the secure connection to the enterprise data storage database occurs upon receiving, via the communication interface, the test code execution request from a developer computing platform.

14. The method of claim 13 , wherein receiving the test code execution request includes receiving one or more parameters for executing the test code.

15. The method of claim 11 , wherein executing the test code includes building and compiling the test code on the computing platform based on information received from the developer computing platform.

16. The method of claim 11 , wherein executing the test code includes compiling, by the enterprise data storage database, confidential data for transmission, encrypting the confidential data upon being transmitted by the enterprise data storage database, decrypting the confidential data upon being received by the computing, and plugging the confidential data into the test code.

17. The method of claim 11 , wherein sending the test code output results includes compiling error information.

18. The method of claim 11 , wherein sending the masked test code output results includes providing a user interface display on a computing device associated with the developer computing platform, and wherein the user interface display includes information related to the masked test code output results.

19. The method of claim 11 , further comprising:
receiving a selected trusted execution environment,
wherein executing the test code includes executing the test code on the selected trusted execution environment.

20. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:
establish a secure connection to an enterprise data storage database;
upon establishing the secure connection, request confidential data from the enterprise data storage database in connection a test code execution request, wherein th

Assignees

• Bank Of America

Inventors

• Lightowler Ben
• Mortman David

Classifications

• G06F11/3698

  Environments for analysis, debugging or testing of software · CPC title

• G06F11/3688 Primary

  for test execution, e.g. scheduling of test suites · CPC title

• G06F11/3664

  Physics · mapped topic

• G06F21/602

  Providing cryptographic facilities or services · CPC title

• G06F21/6218

  to a system of files or objects, e.g. local or distributed file system or database · CPC title