View source for 17847418. USING BIOMETRIC BEHAVIOR TO PREVENT USERS FROM INAPPROPRIATELY ENTERING SENSITIVE INFORMATION simplified abstract (Capital One Services, LLC)

=USING BIOMETRIC BEHAVIOR TO PREVENT USERS FROM INAPPROPRIATELY ENTERING SENSITIVE INFORMATION=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Jennifer Kwok of Brooklyn NY (US)|Jennifer Kwok of Brooklyn NY (US)]][[Category:Jennifer Kwok of Brooklyn NY (US)]]

[[:Category:Salik Shah of Washington DC (US)|Salik Shah of Washington DC (US)]][[Category:Salik Shah of Washington DC (US)]]

[[:Category:Mia Rodriguez of Broomfield CO (US)|Mia Rodriguez of Broomfield CO (US)]][[Category:Mia Rodriguez of Broomfield CO (US)]]

==USING BIOMETRIC BEHAVIOR TO PREVENT USERS FROM INAPPROPRIATELY ENTERING SENSITIVE INFORMATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17847418 titled 'USING BIOMETRIC BEHAVIOR TO PREVENT USERS FROM INAPPROPRIATELY ENTERING SENSITIVE INFORMATION

==Simplified Explanation==

The patent application describes a system that uses biometric behavior to prevent the incorrect entry of sensitive information into electronic forms. Here are the key points:

* The system collects the current biometric behavior of a user while interacting with an electronic form.
* This behavior is compared to the user's past benchmark biometric behavior with the same electronic form.
* A similarity score is calculated based on the comparison result.
* If the similarity score meets a predetermined threshold, it is inferred that sensitive information has been incorrectly entered.
* The system identifies the incorrectly entered sensitive information.
* A machine learning model is triggered to generate a risk score based on the similarity score and the identified sensitive information.
* If the risk score meets a predetermined threshold, the user is prompted to redact the incorrectly entered sensitive information.

Potential applications of this technology:

* Online banking and financial transactions
* Healthcare records and patient information
* Government forms and applications
* E-commerce platforms

Problems solved by this technology:

* Prevents the incorrect entry of sensitive information into electronic forms
* Reduces the risk of data breaches and unauthorized access to sensitive information
* Enhances user experience by providing prompts for redacting incorrect information

Benefits of this technology:

* Improved security and protection of sensitive information
* Efficient and accurate identification of incorrectly entered information
* Customizable thresholds for similarity and risk scores to adapt to different use cases
* Integration with machine learning models for continuous improvement and adaptation.


==Original Abstract Submitted==

Disclosed embodiments can pertain to utilizing biometric behavior to prevent inappropriate entry of sensitive information. Current biometric behavior of a user, specific to the user's interaction with an electronic form, can be acquired and compared to benchmark biometric behavior of the user associated with past interaction with the electronic form to create a comparison result. A similarity score based on the comparison result can then be established. It can be inferred that sensitive information was incorrectly entered into the electronic form when the similarity score satisfies a predetermined similarity threshold. The sensitive information can be identified, and a machine learning model can be triggered to generate a risk score based on the similarity score and the identified sensitive information. A user can be prompted to redact incorrectly entered sensitive information when the risk score satisfies a predetermined risk threshold.



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