Content Transport Security Using Forensic File Transfer Classification
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Solution Overview
Problem
Existing solutions for tracking digital assets in a workflow pipeline involving multiple collaborators and external vendors require localized applications in each environment, making it challenging to manage and secure digital content efficiently.
Innovation Solution
An automated digital content transport security system that uses machine learning models to classify file transfers as allowable, forbidden, or suspicious, and takes appropriate actions, incorporating content recognition, forensic identifiers, and business rules to manage and secure digital content across different security protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If localized applications are deployed in each environment to track digital assets, then tracking capability is improved, but system complexity and deployment difficulty increase
Solution Approach 1:
The patent implements a universal centralized tracking system that can monitor digital assets across multiple different environments and platforms through a single deployment. The system uses standardized protocols and interfaces to communicate with various storage systems, content management systems, and transmission protocols, eliminating the need for separate localized applications in each environment while maintaining comprehensive tracking capability.
2Ease of operation
If centralized tracking system is implemented, then ease of management is improved, but real-time monitoring capability may worsen
Solution Approach 1:
The patent introduces intermediary components including event listeners, message queues, and notification services that enable real-time tracking data to be captured at the source and immediately transmitted to the centralized system. These intermediaries act as buffers and translators, allowing the centralized system to maintain real-time monitoring capability while processing and managing data in a centralized manner, thus preserving both ease of management and real-time responsiveness.
Data Source
AI summary
A content transport security system includes a computing platform having processing hardware and a memory storing software code and a database including one or more business rule(s). The processing hardware executes the software code to intercept a content file including a content asset, during a file transfer of the content file between a client device and a destination device, determine an authorization status of the destination device, and decrypt the content file, using a decryption key corresponding to an encryption key available to the client device. The processing hardware further executes the software code to search the content asset for a forensic identifier, assign a classification to the file transfer, based on the authorization status and a result of the searching, the classification being one of allowable, forbidden, or suspicious, and allow or block the file transfer to the destination device, based on the classification and the business rule(s).