An agent security risk assessment method and system based on multi-threat index dynamic weighting

The intelligent agent security risk assessment method, which uses dynamic weighting of multiple threat indicators, solves the problem of inaccurate risk assessment in intelligent agent systems, achieves unified quantitative and adaptive risk assessment, and provides interpretable protection strategies.

CN122419951APending Publication Date: 2026-07-17BEIJING INFORMATION SCI & TECH UNIV
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Patent Information

Application Number
CN202610749613.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing security assessment methods for intelligent agent systems cannot effectively unify multiple risk indicators, resulting in inaccurate risk assessments and difficulty in guiding targeted protection strategies.

Method used

A multi-threat indicator dynamic weighting method is adopted. By calculating the injection rejection rate, privacy leakage rate and dynamic tool-mediated security latency, it is converted into risk components with consistent direction. The weights are dynamically adjusted based on the scenario state vector to calculate the comprehensive risk score and level, and output the protection strategy.

Benefits of technology

It achieves unified quantification of multiple heterogeneous threats, adapts risk assessment to different scenarios, provides interpretable risk source guidance, and supports pre-deployment assessment, version regression testing, and runtime monitoring.

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Abstract

本发明公开了一种基于多威胁指标动态加权的智能体安全风险评估方法及系统,涉及大语言模型智能体安全测评技术领域。方法包括:获取智能体系统的测试结果集或运行日志;计算提示注入拒绝率、隐私泄露率和动态工具介导安全第95百分位时延并转换为方向一致的风险分量;构建场景状态向量,并对基础权重进行动态调整,得到风险分量对应的动态风险权重;计算综合风险评分,根据预设风险阈值集合将综合风险评分映射为风险等级,并输出风险等级、综合风险评分和对应的防护策略。本发明能够在保留各类风险来源可解释性的同时形成统一风险视图,适用于智能体系统的上线前评估、版本回归测试、运行期监控和风险感知防护。
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