近日，随着华为宣布投入10亿元启动"天工计划"以及高通联合主流安卓厂商启动"AI加速计划"，手机AI 智能体升级及其生态扩张进一步加速。 从荣耀的YOYO、vivo的蓝心小V到华为的小艺智能体，AI智能体成为手机标配的同时，通过与第三方 App及其他智能体的联动，打响了新一轮的生态竞争。 手机厂商全面押注"智能体"生态 "今年大家的AI发展思路已经进入到一个新的阶段。"IDC中国研究经理郭天翔向新京报贝壳财经记者表 示，之前AI还处于对手机原有功能的改善或提升阶段，且更多地借助云端大模型，现在厂商都开始强 调AI智能体。 "手机通过内置本地化端侧模型，真正区分了AI手机与用户下载第三方AI应用在功能上的差异，同时， AI 智能体可以自己执行任务，为手机消费者提供更个性化的服务。"郭天翔说。 目前，中国主流手机厂商已全面布局AI智能体赛道，从传统语音助手向具备自主决策和执行能力的AI 智能体演进。同时，为了增强手机智能体跨应用任务完成能力，手机厂商还加快推动智能体框架及生态 建设。 今年6月底，华为发布了全新的鸿蒙智能体框架（HMAF），目标是构建一个具备自主决策和群体协作 能力的AI生态系统，让系统内的所有智 ...

Core Insights - AI glasses are viewed as the next generation of smart terminals following smartphones, with significant interest from major tech companies [1] - The "2025 Security of Terminal Intelligent Agents" white paper highlights privacy risks associated with smart glasses, emphasizing the need for security measures [1][3] - The evolution of AI agents is transforming various industries, leading to more proactive and human-like interactions [2][5] Group 1: Security Risks - The white paper identifies multiple layers of security risks for terminal intelligent agents, including device, data, model, cloud collaboration, interface, and business layer risks [7] - Specific risks include user identity, application identity, malicious prompt engineering, permission abuse, behavior inducement, and uncontrolled content generation [7] - The emergence of prompt injection attacks poses a significant threat to terminal intelligent agents, necessitating enhanced security measures [7] Group 2: Technological Advancements - AI agents are transitioning from traditional smart devices to more integrated, end-side intelligent agents that redefine user interaction [2][5] - Innovations such as gesture recognition and 3D semantic understanding are enhancing user experience in devices like Meta Quest 4 Pro and Huawei Vision Glass 2025 [2] - The shift from passive to proactive user services is changing the interaction dynamics across various sectors, including automotive and healthcare [5][8] Group 3: Collaborative Security Measures - The white paper proposes three main protective paths: single intelligent agent security, trusted interconnection of multiple agents, and AI terminal security [8] - Key dimensions for building a trusted collaborative environment include trusted connection, authentication, intent, and authorization [8][10] - The establishment of the IIFAA Trusted Interconnection Working Group aims to address data calling, identity verification, and permission boundary issues across multiple devices and accounts [9][10]