侵入式Agent是指一类不依赖第三方应用开放标准接口，而是通过系统层权限直接读取界面信息、识别页面内容，并模拟用户完成点击、输入、跳转等操作的智能体形态。随着多模态大模型和智能体技术持续演进，侵入式Agent正加快渗透至跨应用任务执行场景，在提升自动化能力的同时，也对移动互联网原有的入口逻辑、应用生态协同、数据安全边界及责任认定机制带来新的挑战。基于对全球及中国AI Agent产业的系统研究，弗若斯特沙利文正式发布《2026年侵入式Agent产业治理白皮书》，围绕侵入式Agent的产业影响、安全风险与治理路径展开前瞻性分析。
Invasive Agents refer to a type of AI agent that does not rely on standardized interfaces provided by third-party applications, but instead leverages system-level permissions to directly read interface information, interpret on-screen content, and simulate user actions such as clicking, typing, and navigating. As multimodal foundation models and agent technologies continue to evolve, Invasive Agents are accelerating adoption in cross-application task execution scenarios. While enhancing automation capabilities, they also introduce new challenges to the original entry logic of the mobile internet, application ecosystem collaboration, data security boundaries, and accountability mechanisms. Based on systematic research into the global and China AI Agent industry, Frost & Sullivan has officially released the 2026 White Paper on Invasive Agent Industry Governance, providing forward-looking analysis of the industry impact, security risks, and governance pathways of Invasive Agents.
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沙利文 袁先生
E-mail: oliver.yuan@frostchina.com
