Video Conference Redaction for Sensitive Information Sharing
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Solution Overview
Problem
Conventional video conference systems fail to protect sensitive information from being misappropriated by remote agents, leading to security risks such as identity theft and credit card fraud, especially during high-demand periods when thorough vetting of temporary employees is challenging.
Innovation Solution
Implementing object detection in video conference systems to identify sensitive information, extract relevant data, and apply masks to prevent display, while automating workflows based on the detected objects, thereby enhancing security and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video conference systems allow remote agents to view shared information, then communication efficiency is improved, but security risks increase due to potential misappropriation of sensitive information
Solution Approach 1:
The system applies different quality treatments to different regions of the shared content. Sensitive information regions are masked or blurred, while non-sensitive regions remain visible and clear. This allows agents to view necessary information while preventing access to sensitive data, resolving the contradiction between communication efficiency and security.
Solution Approach 2:
The system introduces an intermediary processing layer between the content sharer and the remote agent. This intermediary automatically detects sensitive information and applies appropriate masking, serving as a mediator that enables communication while protecting security without requiring manual intervention from either party.
2Reliability
If manual vetting of temporary employees is performed, then security is improved, but time consumption increases during high-demand periods
Solution Approach 1:
The system enables self-service security protection where the content sharing system automatically performs sensitivity detection and masking without requiring manual vetting of employees. The automated system protects sensitive information regardless of who is operating it, eliminating the need for time-consuming manual background checks while maintaining security.
Solution Approach 2:
The system performs preliminary security measures by automatically detecting and masking sensitive information before it can be misappropriated. This preliminary automated protection eliminates the need for subsequent manual vetting and security reviews, saving time while maintaining reliability.
3Reliability
If object detection and masking processing is applied to video streams, then security is improved, but processing time increases
Solution Approach 1:
The system applies partial processing by focusing object detection and masking only on specific regions of the video stream where sensitive information is likely to appear, rather than processing the entire video frame. This selective approach maintains security while significantly reducing processing time and computational overhead.
Data Source
AI summary
A video conference system for sharing sensitive information between a first participant and a second participant. The video conference system receives a video stream captured by a camera device of a first participant of a video conference, analyzes the video stream during the video conference to identify portions of the video stream containing sensitive information presented by the first participant and captured by the camera device, masks the portions of the video stream containing sensitive information to generate a redacted video stream, and outputs the redacted video stream during the video conference for display at a display device of a second participant of the video conference.


