Granted Patent B2

US 12,335,418 · App. 17/962,939 · Granted Jun 17, 2025

Inventors: Sanjeev J. Nair (Plainsboro, NJ); Rahul Kumar Mishra (Skillman, NJ); Pushkar Gahlaut (Plainsboro, NJ)

Assignee: BANK OF AMERICA CORPORATION

H04L9/50G06F16/2379H04L9/321

Abstract

Claims (40)

1. A system for monitoring an artificial intelligence (AI) engine, the system comprising:

at least one non-transitory storage device; and

at least one processor coupled to the at least one non-transitory storage device, wherein the at least one processor is configured to:

receive, from a first network device, a first set of binary data associated with an AI engine;

encrypt the first set of binary data, generating an encrypted dataset;

store a first hash value associated with the encrypted dataset on a transaction object;

based on receiving, from a second network device, an approval of the first set of binary data, update an approval status of the transaction object;

receive, from a third network device, a second set of binary data associated with the AI engine;

compare a second hash value associated with the second set of binary data to the first hash value; and

based on the approval status and a determination that the second hash value matches the first hash value, instruct the third network device to allow a user to launch the AI engine.

2. The system of claim 1 , wherein the first network device comprises a user interface.

3. The system of claim 1 , wherein the at least one processor is further configured to transmit a notification in response to a query from the first network device.

4. The system of claim 1 , wherein the at least one processor is further configured to transmit a notification based on a predetermined schedule.

5. The system of claim 1 , wherein the at least one processor is further configured to automatically receive the approval of the first set of binary data in response to a data update at the second network device.

6. The system of claim 1 , wherein the at least one processor is further configured to store the transaction object on a distributed ledger.

7. A computer program product for monitoring an artificial intelligence (AI) engine, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

receive, from a first network device, a first set of binary data associated with an AI engine;

encrypt the first set of binary data, generating an encrypted dataset;

store a first hash value associated with the encrypted dataset on a transaction object;

based on receiving, from a second network device, an approval of the first set of binary data, update an approval status of the transaction object;

receive, from a third network device, a second set of binary data associated with the AI engine;

compare a second hash value associated with the second set of binary data to the first hash value; and

based on the approval status and a determination that the second hash value matches the first hash value, instruct the third network device to allow a user to launch the AI engine.

8. The computer program product of claim 7 , wherein the first network device comprises a user interface.

9. The computer program product of claim 7 , wherein the apparatus is further configured to transmit a notification in response to a query from the first network device.

10. The computer program product of claim 7 , wherein the apparatus is further configured to transmit a notification based on a predetermined schedule.

11. The computer program product of claim 7 , wherein the apparatus is further configured to automatically receive the approval of the first set of binary data in response to a data update at the second network device.

12. The computer program product of claim 7 , wherein the apparatus is further configured to store the transaction object on a distributed ledger.

13. A method for monitoring an artificial intelligence (AI) engine, the method comprising:

receiving, from a first network device, a first set of binary data associated with an AI engine;

encrypting the first set of binary data, generating an encrypted dataset;

storing a first hash value associated with the encrypted dataset on a transaction object;

based on receiving, from a second network device, an approval of the first set of binary data, updating an approval status of the transaction object;

receiving, from a third network device, a second set of binary data associated with the AI engine;

comparing a second hash value associated with the second set of binary data to the first hash value; and

based on the approval status and a determination that the second hash value matches the first hash value, instructing the third network device to allow a user to launch the AI engine.

14. The method of claim 13 , further comprising transmitting a notification in response to a query from the first network device.

15. The method of claim 13 , further comprising transmitting a notification based on a predetermined schedule.

16. The method of claim 13 , further comprising automatically receiving the approval of the first set of binary data in response to a data update at the second network device.

17. The method of claim 13 , further comprising storing the transaction object on a distributed ledger.

Assignments (1)

Continuity (1)

References Cited (26)