Screen Data Protection With Camera-Based Narrow AI Detection
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Solution Overview
Problem
Working remotely compromises the security of confidential data, enabling unauthorized personnel to access and capture sensitive information.
Innovation Solution
A system utilizing narrow artificial intelligence (AI) with a camera to detect and secure confidential data by capturing live feeds, processing them through machine learning algorithms to identify unauthorized users and devices, determining security-breach scores, and blurring or securing the screen to prevent access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If employees work remotely to access confidential data, then productivity and work flexibility are improved, but data security and protection from unauthorized access deteriorate
Solution Approach 1:
The system performs preliminary actions by continuously monitoring the remote environment before unauthorized access can occur. The camera captures images of the user's surroundings, and the machine learning algorithm analyzes these images in advance to detect unauthorized personnel or devices, enabling preventive security measures before any data breach can happen.
Solution Approach 2:
The patent introduces an intermediary system consisting of a camera and machine learning algorithm that acts as a mediator between the remote worker and the confidential data. This intermediary continuously monitors the environment and intercepts potential unauthorized access attempts by detecting unauthorized personnel or devices before they can access the data.
2Ease of operation
If remote work is enabled, then employee autonomy and work-life balance are improved, but the risk of unauthorized capturing of confidential data increases
Solution Approach 1:
The system implements continuous feedback by capturing images of the remote environment, analyzing them through machine learning algorithms, and providing real-time feedback about potential security threats. The system detects unauthorized personnel or devices and can trigger alerts or block data access, creating a closed-loop security system that responds dynamically to the remote work environment.
3Device complexity
If no camera monitoring is used, then device complexity and privacy concerns are reduced, but the ability to detect unauthorized access deteriorates
Solution Approach 1:
The patent replaces complex mechanical security systems with a software-based machine learning algorithm that processes images from a simple camera. Instead of using complex hardware security measures, the system uses AI to automatically detect unauthorized access patterns, reducing overall system complexity while improving detection capabilities.
Data Source
AI summary
Methods, apparatus, and systems are provided for using narrow artificial intelligence (“AI”) to detect and secure confidential data. The methods may include using a camera on a user computer to capture a live camera feed of an area adjacent to the user computer. Methods may include identifying one or more unverified data elements in the captured data. In response to determining an unverified data element, methods may include securing the user computer. Methods may include capturing a screenshot of the user computer screen. Methods may include transmitting data extracted from the screenshot through an object identification algorithm. Methods may include identifying confidential data within the screenshot using a pattern analysis model. Methods may include recreating the screenshot using a narrow AI model. Methods may include blurring the confidential data in the recreated screenshot. Methods may include overwriting the screenshot to display the recreated screenshot on the user computer.