Multimedia DLP Scanning for Real-Time Sensitive Data Blocking
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Solution Overview
Problem
Existing data loss prevention (DLP) solutions are inadequate for protecting sensitive data in multimedia formats, such as audio, video, and graphics, particularly in environments like webRTC video conferencing and cloud-based systems, and lack comprehensive integration across diverse systems.
Innovation Solution
A system comprising a secure email gateway, SSE remediation engine, and CASB API module intercepts and processes multimedia data to identify sensitive information using AI algorithms, applying policies to prevent data leakage through real-time scanning and remediative actions across various endpoints and cloud services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional DLP solutions are used, then text data can be protected, but multimedia data (audio, video, graphics) cannot be effectively protected
Solution Approach 1:
The DLP system is enhanced with multiple processing modules that enable it to handle various data formats including text, audio, video, and graphics. The system incorporates audio processing modules, video processing modules, and graphic processing modules in addition to traditional text processing, making it universally applicable across all multimedia formats while maintaining effective data protection
2Reliability
If real-time scanning of multimedia data is implemented, then data leakage can be prevented, but system complexity increases
Solution Approach 1:
The DLP system is divided into distinct functional modules including audio processing modules, video processing modules, graphic processing modules, and policy evaluation modules. Each module is responsible for processing specific types of data or performing specific functions, which reduces overall system complexity while enabling comprehensive real-time scanning of all multimedia formats
3Reliability
If comprehensive integration across diverse systems is achieved, then data protection coverage is improved, but ease of operation decreases
Solution Approach 1:
The system incorporates integration modules that act as intermediaries between the DLP core engine and diverse external systems including webRTC video conferencing systems, cloud-based systems, and other applications. These integration modules handle the complexity of system interoperability while presenting a simplified interface for deployment and management, thereby maintaining ease of operation despite comprehensive integration
Data Source
AI summary
Data loss prevention may be performed with respect to multimedia data at the time of distribution, whether as part of an email, live video conference, or retrieval from a software as a service (SaaS) application. Multimedia data is intercepted and divided into channels (text, audio, video). Audio and video channels are converted into text. Images of video may be processed using optical character recognition or object recognition. Text obtained from the multimedia data is processed to determine whether the text includes sensitive data that an intended recipient of the multimedia data is not authorized to access. If so, a remediating action may be performed, such as blocking or redacting the multimedia data.