Granted Patent B2

US 12,321,332 · App. 18/232,567 · Granted Jun 3, 2025

Inventors: Vishal Wadhwa (Telengana, IN); Mangesh Narendra Chore (Telengana, IN); Sunil Reddy Gaddam (Telengana, IN); Aditya Anil Kulkarni (Maharashtra, IN)

Assignee: BANK OF AMERICA CORPORATION

G06F16/2358G06F16/254

Abstract

Claims (66)

1. A system for device configuration data generation and management, the system comprising:

a processing device; and

a non-transitory storage device comprising instructions that, when executed by the processing device, causes the processing device to perform the steps of:

receive credentials on an interface of an endpoint device;

receive a request from the endpoint device to access a portal;

authenticate the credentials via an authentication engine;

receive specifications comprising endpoint device attributes, wherein the specifications are input into the interface of the endpoint device;

select, via a configuration engine comprising pre-existing configurations in a configuration database, a selected pre-existing configuration based on the specifications;

determine a verification of the selected pre-existing configuration, wherein the verification of the selected pre-existing configuration comprises determining when account settings at the endpoint device match those of the selected pre-existing configuration, wherein in response to not determining that the selected pre-existing configuration is verified, the instructions further cause the processing device to:

extract and transmit the specifications to a configuration generator engine comprising a machine learning engine;

preprocess and extract relevant specification data from the specifications;

generate, using the machine learning engine, a generated configuration based on and the relevant specification data, wherein the machine learning engine is trained on the pre-existing configurations; and

determine a verification of the generated configuration, wherein the verification of the generated configuration comprises determining when account settings match those of the generated configuration;

update the configuration database with the specifications and supply the specifications to the machine learning engine; and

access the portal upon a condition where the verification of the selected preexisting configuration or the verification of the generated configuration is affirmed.

2. The system of claim 1 , wherein in response to determining that the selected pre-existing configuration is verified, the instructions further cause the processing device to:

update the configuration database with the specifications.

3. The system of claim 1 , wherein in response to determining that the generated configuration is not verified, the instructions further cause the processing device to:

receive settings as an input on the interface of the endpoint device for manual device management.

4. The system of claim 3 , wherein the instructions further cause the processing device to:

transform the settings into a custom configuration using a translation engine; and

add the custom configuration to the configuration database.

5. The system of claim 1 , wherein the instructions further cause the processing device to:

store the credentials in a credential storage device.

6. A computer program product for device configuration data generation and management, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

receive credentials on an interface of an endpoint device;

receive a request from the endpoint device to access a portal;

authenticate the credentials via an authentication engine;

receive specifications comprising endpoint device attributes, wherein the specifications are input into the interface of the endpoint device;

select, via a configuration engine comprising pre-existing configurations in a configuration database, a selected pre-existing configuration based on the specifications;

determine a verification of the selected pre-existing configuration, wherein the verification of the selected pre-existing configuration comprises determining when account settings at the endpoint device match those of the selected pre-existing configuration, wherein in response to not determining that the selected pre-existing configuration is verified, the code further causes the apparatus to:

extract and transmit the specifications to a configuration generator engine comprising a machine learning engine;

preprocess and extract relevant specification data from the specifications;

generate, using the machine learning engine, a generated configuration based on and the relevant specification data, wherein the machine learning engine is trained on the pre-existing configurations; and

determine a verification of the generated configuration, wherein the verification of the generated configuration comprises determining when account settings match those of the generated configuration;

update the configuration database with the specifications and supply the specifications to the machine learning engine; and

access the portal upon a condition where the verification of the selected preexisting configuration or the verification of the generated configuration is affirmed.

7. The computer program product of claim 6 , wherein in response to determining that the selected pre-existing configuration is verified, the code further causes the apparatus to:

update the configuration database with the specifications.

8. The computer program product of claim 6 , wherein in response to determining that the generated configuration is not verified, the code further causes the apparatus to:

receive settings as an input on the interface of the endpoint device for manual device management.

9. The computer program product of claim 8 , wherein the code further causes the apparatus to:

transform the settings into a custom configuration using a translation engine; and

add the custom configuration to the configuration database.

10. The computer program product of claim 6 , wherein the code further causes the apparatus to:

store the credentials in a credential storage device.

11. A method for device configuration data generation and management, the method comprising:

receiving credentials on an interface of an endpoint device;

receiving a request from the endpoint device to access a portal;

authenticating the credentials via an authentication engine;

receiving specifications comprising endpoint device attributes, wherein the specifications are input into the interface of the endpoint device;

selecting, via a configuration engine comprising pre-existing configurations in a configuration database, a selected pre-existing configuration based on the specifications;

determining a verification of the selected pre-existing configuration, wherein the verification of the selected pre-existing configuration comprises determining when account settings at the endpoint device match those of the selected pre-existing configuration, wherein in response to not determining that the selected pre-existing configuration is verified, the method further comprises:

extracting and transmitting the specifications to a configuration generator engine comprising a machine learning engine;

preprocessing and extract relevant specification data from the specifications;

generating, using the machine learning engine, a generated configuration based on and the relevant specification data, wherein the machine learning engine is trained on the pre-existing configurations; and

determining a verification of the generated configuration, wherein the verification of the generated configuration comprises determining when account settings match those of the generated configuration;

updating the configuration database with the specifications and supplying the specifications to the machine learning engine; and

accessing the portal upon a condition where the verification of the selected preexisting configuration or the verification of the generated configuration is affirmed.

12. The method of claim 11 , wherein in response to determining that the selected pre-existing configuration is verified, the method further comprises:

updating the configuration database with the specifications.

13. The method of claim 11 , wherein in response to determining that the generated configuration is not verified, the method further comprises:

receiving settings as an input on the interface of the endpoint device for manual device management.

14. The method of claim 13 , wherein the method further comprises:

transforming the settings into a custom configuration using a translation engine; and

adding the custom configuration to the configuration database.

Assignments (1)

Continuity (1)

References Cited (20)