Automated ID proofing using a random multitude of real-time behavioral biometric samplings
A security platform architecture is described herein. The security platform architecture includes multiple layers and utilizes a combination of encryption and other security features to generate a secure environment.
1. A method comprising:
analyzing, with a device, a plurality of Multi-Factor Authentication (MFA) criteria for a user of the device;
adjusting, with the device, a trust score of the user for the device based on the analysis of the plurality of MFA criteria;
providing, with the device, an authentication challenge based on the trust score;
analyzing, with the device, the authentication challenge for the user of the device; and
adjusting, with the device, the trust score of the user for the device based on the analysis of the authentication challenge.
2. The method of claim 1 wherein the plurality of MFA criteria and/or the authentication challenge are behavioral-based.
3. The method of claim 2 wherein the plurality of MFA criteria and/or the authentication challenge are selected from: a voice tenor and/or pattern, a gait, a typing style, a web page selection/usage and/or acquiring a dynamic optical mark using the device.
4. The method of claim 1 wherein an MFA criterion of the MFA criteria is selected for analysis randomly.
5. The method of claim 1 wherein analyzing the plurality of MFA criteria includes analyzing each MFA criterion of the plurality of MFA criteria in a random order.
6. The method of claim 1 wherein the trust score is combined with a risk score to determine a confidence score, wherein the confidence score is used to determine access of the user on the device.
7. The method of claim 1 further comprising generating and/or modifying a stack of the plurality of MFA criteria.
8. An apparatus comprising:
a memory for storing an application, the application configured for:
analyzing a plurality of Multi-Factor Authentication (MFA) criteria for a user of the apparatus;
adjusting a trust score of the user for the apparatus based on the analysis of the plurality of MFA criteria;
providing an authentication challenge based on the trust score;
analyzing the authentication challenge for the user of the apparatus; and
adjusting the trust score of the user for the apparatus based on the analysis of the authentication challenge; and
a processor configured for processing the application.
9. The apparatus of claim 8 wherein the plurality of MFA criteria and/or the authentication challenge are behavioral-based.
10. The apparatus of claim 9 wherein the plurality of MFA criteria and/or the authentication challenge are selected from: a voice tenor and/or pattern, a gait, a typing style, a web page selection/usage and/or acquiring a dynamic optical mark using the device.
11. The apparatus of claim 8 wherein an MFA criterion of the MFA criteria is selected for analysis randomly.
12. The apparatus of claim 8 wherein analyzing the plurality of MFA criteria includes analyzing each MFA criterion of the plurality of MFA criteria in a random order.
13. The apparatus of claim 8 wherein the trust score is combined with a risk score to determine a confidence score, wherein the confidence score is used to determine access of the user on the device.
14. The apparatus of claim 8 further comprising generating and/or modifying a stack of the plurality of MFA criteria.
15. A server device comprising:
a memory for storing an application, the application configured for:
generating and/or modifying a stack of a plurality of Multi-Factor Authentication (MFA) criteria;
receiving user information related to the plurality of MFA criteria from a user device;
analyzing the user information related to the plurality of MFA criteria for a user of the user device;
adjusting a trust score of the user for the user device based on the analysis of the information related to the plurality of MFA criteria;
providing an authentication challenge based on the trust score;
analyzing the authentication challenge for the user of the user device; and
adjusting the trust score of the user for the user device based on the analysis of the authentication challenge; and
a processor configured for processing the application.
16. The server device of claim 15 wherein the plurality of MFA criteria and/or the authentication challenge are behavioral-based.
17. The server device of claim 16 wherein the plurality of MFA criteria and/or the authentication challenge are selected from: a voice tenor and/or pattern, a gait, a typing style, a web page selection/usage and/or acquiring a dynamic optical mark using the device.
18. The server device of claim 15 wherein an MFA criterion of the MFA criteria is selected for analysis randomly.
19. The server device of claim 15 wherein analyzing the plurality of MFA criteria includes analyzing each MFA criterion of the plurality of MFA criteria in a random order.
20. The server device of claim 15 wherein the trust score is combined with a risk score to determine a confidence score, wherein the confidence score is used to determine access of the user on the device.