Browser Extension Detecting Incorrectly Entered Sensitive Data
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Solution Overview
Problem
Customer service representatives and customers often accidentally enter sensitive information, such as personally identifiable information (PII), into incorrect form fields in electronic documents, leading to potential violations of regulations and security breaches.
Innovation Solution
A browser extension that uses a machine learning model to detect incorrectly entered sensitive information, provides warnings to users, and corrects the data before it propagates, using context and regular expressions to minimize false positives and prevent further transmission until the information is corrected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of form fields is used, then false positives are reduced, but productivity decreases and time consumption increases
Solution Approach 1:
The system performs self-monitoring and self-correction of sensitive data entries without requiring manual intervention. The browser extension automatically detects incorrectly entered sensitive information, provides warnings to users, and enables real-time correction before data propagation, making the system self-regulating and maintaining high productivity while ensuring accuracy.
Solution Approach 2:
The system implements real-time feedback mechanisms where users receive immediate warnings when sensitive information is entered incorrectly. The feedback loop includes detecting the error, notifying the user, allowing correction, and preventing propagation until corrected, thereby maintaining both high detection accuracy and user productivity through automated monitoring.
2Reliability
If real-time monitoring is implemented, then data security is improved, but device complexity increases
Solution Approach 1:
The browser extension acts as an intermediary layer between the user and the data entry system. It monitors form fields, detects sensitive information errors, and facilitates correction without requiring complex backend systems or manual intervention, thereby achieving enhanced security with minimal added complexity.
Solution Approach 2:
The system performs preliminary detection and warning actions before sensitive data can propagate beyond the form field. By intercepting and addressing errors at the point of entry, the system prevents security issues before they arise, reducing the need for complex post-detection remediation systems.
3Productivity
If automated detection is used, then productivity is improved, but measurement precision deteriorates due to false positives
Solution Approach 1:
The detection system dynamically adjusts its monitoring based on form field context and data patterns. It adapts to different form structures and sensitive information types, reducing false positives while maintaining high productivity through automated detection. The system learns from user interactions and form contexts to improve detection precision over time.
Data Source
AI summary
Disclosed embodiments pertain to protecting sensitive information. A browser extension associated with a web browser can detect a user entering information associated with the user into an electronic form. The browser extension can monitor the user entering sensitive information into the electronic form and detect that the user has entered sensitive information incorrectly. In response, the browser extension can provide a warning to the user that sensitive information has been incorrectly entered. Instructions can be displayed to a user on how incorrectly entered sensitive information is to be corrected. The incorrectly entered sensitive information is corrected based on a response from the user before the sensitive information propagates beyond the electronic form.