信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2026, Vol. 52 ›› Issue (8): 18-22.doi: 10.12267/j.issn.2096-5931.2026.08.003

专题:数字安全与应用 上一篇    下一篇

基于风险管控视角的终端智能体安全防护与治理路径研究

Research on security protection and governance paths of terminal agents from perspective of risk management and control

刘军, 董霁, 王威   

  1. 博鼎实华(北京)技术有限公司, 北京 100096
  • 收稿日期:2026-07-02 出版日期:2026-08-25 发布日期:2026-09-02
  • 通讯作者: 王威
  • 作者简介:
    刘军,博鼎实华(北京)技术有限公司总经理,高级工程师,主要从事通信设备人工智能技术等方面的研究及监管工作;
    董霁,博鼎实华(北京)技术有限公司信息安全部经理,工程师,主要从事智能终端人工智能信息安全等方面的研究工作

LIU Jun, DONG Ji, WANG Wei   

  1. Potin (Beijing) Technology Co., Ltd., Beijing 100096, China
  • Received:2026-07-02 Online:2026-08-25 Published:2026-09-02
  • Contact: WANG Wei

摘要:

终端智能体兴起,让终端智能化步入以自主代理为核心的新阶段。人机共融、端云协同带来全新使用体验,也重构了安全风险范式。对终端智能体展开分析发现,其存在数据传输合规风险、权限滥用、责任难以划定等问题。业界已开展全链路可信架构搭建、精细化权限管控、智能体身份互信等实践,然而治理层面仍面临标准零散、分级规范缺位、生态博弈突出等困境。建议搭建风险分级体系,统一互联标准,厘清全链路权责,落实事前合规与应急处置,秉持“以人为本、智能向善”的理念打造协同治理模式,保障终端智能体生态良性发展。

关键词: 人工智能, 终端智能体, 权限管理, 互联互通, 数据隐私

Abstract:

The rise of terminal agents has pushed terminal intelligence into a new era centered on autonomous agents. While human-machine integration and edge-cloud collaboration bring brand-new user experiences, they have also reshaped the paradigm of security risks. An analysis of terminal agents reveals prominent challenges including compliance risks of data transmission, permission abuse, and ambiguous accountability. The industry has carried out practical explorations such as constructing end-to-end trusted architectures, implementing refined permission control, and establishing identity mutual trust among agents. Nevertheless, governance is still plagued by fragmented standards, absent hierarchical specifications and fierce ecological gaming. It is proposed to build a risk classification system, unify interconnection standards, clarify end-to-end rights and obligations, and enforce ex ante compliance review and emergency response. A collaborative governance framework guided by the principles of human-centered AI and AI for good shall be established to sustain the sound development of the terminal agent ecosystem.

Key words: AI, terminal agent, permission management, interoperability, data privacy

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