Edge Server AI Controller for Third-Party Software Integration
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Solution Overview
Problem
Large enterprise organizations face challenges in managing and integrating third-party software into their complex computing environments due to regulatory and security testing requirements, latency issues, and the inability to log performance or detect errors in externally hosted third-party software.
Innovation Solution
Deploying an edge server within a secure internal network to manage and deliver third-party software, utilizing an AI content controller to transpile and test third-party content, and configuring it to conform to internal security and operational protocols, allowing integration with software development automation tools and version control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If third-party software is hosted on third-party networks, then ease of operation is improved, but reliability and security compliance deteriorate
Solution Approach 1:
The patent introduces an intermediary system between the third-party software vendor and the enterprise organization's CDN. This intermediary hosts the third-party software in a controlled environment that enables both easy deployment (maintaining ease of operation) and enterprise-level security testing and performance logging (improving reliability). The intermediary acts as a buffer that reconciles the conflicting requirements of vendor convenience and enterprise security control.
2Device complexity
If third-party software is externally hosted, then device complexity is reduced, but measurement precision and error detection deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the intermediary system continuously monitors and logs the performance and errors of third-party software. This feedback loop provides the enterprise organization with visibility into software execution issues, enabling proactive error detection and resolution while maintaining the simplicity of external hosting.
3Reliability
If third-party software is integrated into enterprise development lifecycle, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by requiring third-party software to be pre-tested and validated in the intermediary environment before being deployed to the enterprise's CDN. This advance testing ensures reliability requirements are met while avoiding the complexity of integrating third-party software into the enterprise's ongoing development lifecycle. The security and performance testing are performed beforehand, eliminating the need for continuous complex integration processes.
Data Source
AI summary
Aspects of this disclosure relate to using artificial intelligence (“AI”) to control integration of software developed by a third-party into an enterprise computing environment subject to more rigorous regulatory and security testing than typically provided by the third-party. AI software development automation tools will deploy third-party scripts to edge servers. Deploying to edge servers allows for integration of the third-party tags into testing environment pipelines. Local storage associated with third-party tags will be at a top-level domain, allowing third-party software tags to be treated as first party without the reputational and technical risks of cross-site storage.