Local Data Desensitization: Solving the Privacy Crisis in AI Services

Local Data Desensitization: An Innovative Solution to AI Service Privacy Leaks In today’s digital landscape, artificial intelligence services have become indispensable components of our daily lives and professional workflows. However, as AI applications proliferate, a critical challenge has emerged: the risk of privacy data leaks in AI services. From the early 2025 data breaches involving DeepSeek and OmniGPT to recent privacy incidents in immersive translation tools, these events serve as stark reminders that AI conversation records containing sensitive information face unprecedented security challenges. AI service providers typically store user conversation records in plaintext format. These records may contain sensitive data …