Overview
Focused on AI privacy needs where “data is usable but not visible,” custom reconstruction of underlying architecture and cryptography brings confidential computing in AI scenes from roughly thousand-fold overhead down to usable levels, with core performance metrics at a global leading level. The tech is widely used across highly sensitive privacy-security domains to safeguard data security and intelligent compute. The AI privacy platform is still in early closed beta. We know that ensuring absolute end-to-end encryption while keeping good UX still leaves room to improve product effect and response speed.
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聚焦“数据可用不可见”的AI隐私需求，通过底层架构与密码学设计的定制化重构，实现AI场景下密态计算从千倍左右降至可用水平，在核心性能指标上达到全球领先水平。该技术已广泛应用于多个高敏感隐私安全领域，为用户的数据安全与智能计算保驾护航。目前，AI隐私平台尚处于早期的内测阶段。我们深知，要在保障“全流程绝对加密”的同时兼顾良好的用户体验，当前的产品效果及响应速度还存在诸多可提升空间。