Middleware AI Engine for Context-Aware Responses and Threat Protection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional computer systems face limitations in efficiently responding to user queries due to their reliance on predefined algorithms, lacking adaptability to understand natural language, context, and nuances in diverse user inputs, resulting in suboptimal search results and challenges in obtaining relevant information.
Innovation Solution
A system utilizing an artificial intelligence (AI) engine intercepts traffic at the application layer of a cloud-based network, analyzes user interactions to determine context, assesses writing styles, toxicity, sentiment, bias, and policy violations, and constructs responses based on user scores to fulfill requests while providing threat protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional computer systems use predefined algorithms to process user queries, then the system operation is simple and predictable, but the adaptability to understand natural language, context, and nuances is poor
Solution Approach 1:
The patent introduces an AI engine as an intermediary component between the user and the network services. This AI engine intercepts traffic, analyzes user context, determines writing styles and tones, and constructs appropriate responses before the traffic reaches the actual services. This mediator approach allows the system to handle diverse user inputs adaptively without complicating the core service architecture.
Solution Approach 2:
The system segments the traffic processing function by separating the AI-powered context analysis and response construction from the actual network services. The AI engine operates as an independent layer that handles all user interaction complexities, while the underlying services remain simple and unchanged. This segmentation allows the complex adaptive behavior to be isolated in one module.
2Manufacturing precision
If the system uses predefined algorithms for request processing, then the processing speed is fast and consistent, but the quality of search results and relevance to user needs is limited
Solution Approach 1:
The system changes the fundamental parameters of request processing by transitioning from fixed algorithmic responses to dynamic AI-generated responses. The AI engine analyzes multiple context parameters including user profile, writing style, tone, and content type to construct personalized responses. This parameter transformation enables high-quality relevant results while maintaining efficiency through automated AI processing.
3Reliability
If the system processes all user traffic through complex AI analysis, then the response quality and security monitoring improve, but the network throughput and processing capacity are reduced
Solution Approach 1:
The AI engine performs preliminary analysis of user context, writing styles, and potential threats before the traffic reaches the network services. By pre-processing and classifying requests based on user profiles and content types, the system can route different traffic types through appropriate handling paths, maintaining security monitoring while preserving network throughput for legitimate traffic.
Data Source
AI summary
A system uses an artificial intelligence (AI) engine to generate a response for end-user devices using services and to provide threat protection in a cloud-based network. The system consists of tenants, tunnels, the AI engine, and an AI reporter. A tenant includes the end-user devices. The tunnels transmit and segregate traffic between the end-user devices and the services. The AI engine intercepts traffic within tunnels, receives a request from a user, and applies functions to manage it. The AI engine monitors the request and generates the response. The AI engine determines patterns based on interactions of the user with services, processes the patterns, generates a baseline of user activity and change settings. The AI engine generates the response based on the settings and sends it to the user to fulfill the request. The AI reporter transmits information corresponding to the request and response across the tenants of the cloud-based network.