基于受控执行环境的AI agent数据保护方法和装置

By combining TEE and eBPF technologies, a controlled execution environment is constructed, which solves the problems of behavior monitoring and data protection during the operation of AI agents, realizes privacy protection and compliance throughout the entire lifecycle, and ensures data security and compliance.

CN120915513BActive Publication Date: 2026-07-17NANKAI UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANKAI UNIV
Filing Date
2025-07-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to provide observable, interventionist, and verifiable data protection for AI agent behavior during runtime, especially in complex multi-round inference and tool call chains. Traditional methods cannot meet the compliance requirements of regulations such as GDPR.

Method used

By combining Trusted Execution Environment (TEE) and Extended Berkeley Packet Filter (eBPF) technology, a controlled execution environment is constructed. Through a security decision monitoring module, network traffic is intercepted and verified at the kernel level, enabling full lifecycle behavior monitoring and data protection for the AI ​​agent.

Benefits of technology

It achieves a trusted, observable, and revocable privacy sandbox throughout the entire lifecycle of the AI ​​agent, ensuring data confidentiality and compliance, and preventing privacy data leakage and unauthorized access.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种基于受控执行环境的AI agent数据保护方法和装置,包括在可信执行环境中通过远程认证服务验证云侧的各服务节点内核中安全决策监控模块完整性,验证云侧的服务节点是否均运行在可信执行环境中,及其启动环境是否安全可信;云侧接收来自用户端侧的安全配置,分发至各服务节点的安全决策监控模块中;首先对AI智能体待发送的服务请求执行安全检查,合规后由云侧服务节点接收,云侧网关服务节点的安全决策监控模块拦截接收的网络包,判断服务请求是否是正常流量;在需要调用云端其他服务节点服务时,继续判断该流量是否满足用户配置的安全配置;所述安全决策监控模块基于eBPF建立,用于拦截接收或发送的网络包,实现验证与审计功能。
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