Mobile-Centric AI Agent Hub for Secure Cross-Device Service Continuity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge of synchronizing user-customized AI models across various devices in a safe and reliable manner, ensuring consistent and continuous user services, particularly when devices from different environments and suppliers are involved.
Innovation Solution
A mobile-centric agent hub system (MCAHS) that registers, authenticates, and manages AI agents, determines tasks, selects appropriate agents, and integrates their processing results to provide a unified response, while ensuring security and resource management through a trusted execution environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If AI models are synchronized across various user terminals and service environments, then service consistency and continuity are improved, but security and reliability of information synchronization deteriorate
Solution Approach 1:
The patent introduces an agent hub as an intermediary component that mediates between multiple AI agents deployed across different user terminals and service environments. The agent hub centralizes the synchronization process, managing model updates and information exchange between AI agents while implementing security protocols. This intermediary structure ensures service consistency across devices while maintaining security through centralized control and authentication mechanisms.
2Adaptability or versatility
If multiple AI agents are deployed across various devices, then service versatility and user customization are improved, but system complexity and management difficulty worsen
Solution Approach 1:
The patent segments the AI system into independent AI agents deployed on user terminals and a centralized agent hub. Each AI agent operates autonomously on its device while the agent hub provides centralized management functions. This segmentation allows service versatility through distributed AI agents while simplifying management through the centralized hub that handles synchronization, authentication, and coordination.
Solution Approach 2:
The agent hub is designed as a universal management platform that can handle multiple types of AI agents across different devices and service environments. It provides multi-functional capabilities including model synchronization, security authentication, task coordination, and information management, thereby reducing overall system complexity despite the diversity of deployed AI agents.
3Duration of action of moving object
If AI model information is synchronized across devices, then user service continuity is improved, but data security and privacy protection worsen
Solution Approach 1:
The patent implements preliminary authentication and authorization actions through the agent hub before AI model information is synchronized across devices. The system performs security validation, identity verification, and access rights checking in advance of the synchronization process. This preliminary security action ensures service continuity through proper authentication while protecting data security by preventing unauthorized access or synchronization.
Data Source
AI summary
Disclosed are a system for an artificial intelligence agent and an operating method thereof. An operating method of a mobile-centric agent hub system (MCAHS) may include registering and authenticating AI agents included in an external device, determining a task by analyzing an instruction received from a user, selecting an AI agent for processing the determined task, among the registered AI agents, transmitting the determined task to the selected AI agent, receiving the results of processing of the transferred task from the selected AI agent, and providing a final response generated based on the received results of the processing to the user.