Model Service Security Screening for Safe AI Responses
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Solution Overview
Problem
Existing question answering systems face challenges in effectively protecting against attacks, as conventional methods like regular expressions and logical code analysis are inadequate in detecting cyber threats.
Innovation Solution
A security protection method for model services that involves acquiring a request, performing security detection, and either sending it to the model service for a reply or providing alternative information when detection fails, using multiple model services to analyze user behavior and generate protective responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods like regular expressions and logical code analysis are used for security detection, then the detection process is simple and fast, but the detection precision is insufficient to effectively identify cyber threats
Solution Approach 1:
The patent introduces a security detection model service as an intermediary component between the user request and the target model service. This intermediary performs specialized security analysis using trained detection models, enabling precise identification of cyber threats while keeping the overall system architecture modular and manageable. The detection model service acts as a mediator that translates complex security analysis into actionable security decisions.
Solution Approach 2:
The patent replaces traditional mechanical security detection methods (regular expressions and logical code analysis) with an AI-based detection model service. This substitution enables the system to perform sophisticated security analysis by leveraging machine learning models that have been trained to recognize various cyber threat patterns, thereby significantly improving detection precision without requiring complex manual rule configuration.
2Reliability
If security detection is performed on every request, then security reliability is improved, but the response time and processing speed increase
Solution Approach 1:
The patent implements preliminary security detection by performing security analysis on requests before they reach the target model service. The security detection model service evaluates requests in advance, identifying potential threats proactively. This preliminary action ensures that security checks are completed beforehand, allowing legitimate requests to be processed quickly while blocking malicious ones before they consume target service resources.
Solution Approach 2:
The patent segments the request processing workflow into distinct components: a security detection pathway and a normal service processing pathway. By dividing the system into these separate segments, the patent enables parallel processing where security detection occurs independently, allowing legitimate requests to bypass lengthy security checks after initial screening and reach the target service rapidly, thus reducing overall processing time while maintaining security reliability.
Data Source
AI summary
The present disclosure provides a model service security protection method and a related device. The method includes: acquiring a first request initiated to a first model service; performing security detection on the first request to obtain a security detection result; in response to the security detection result being passed, sending the first request to the first model service, to cause the first model service to generate reply information corresponding to the first request; or in response to the security detection result being failed, acquiring first information and sending the first information to the first model service, to cause the first model service to determine the first information as the reply information corresponding to the first request.