According to Beating Monitor, Liquid AI has released ShieldFlow, a local privacy data anonymization tool. ShieldFlow supports running the built-in Liquid Foundation Model locally, automatically identifying and masking sensitive data on-device to prevent private information from being sent to the cloud. During operation, ShieldFlow requires no GPU power and has extremely low memory usage, enabling offline real-time performance on the vast majority of standard personal computers. ShieldFlow was demonstrated at the recent Microsoft Build 2026 developer conference as part of the Foundry Local initiative. At the COMPUTEX 2026 exhibition in Taipei, ShieldFlow was also showcased with live demonstrations running on AMD laptops. Liquid AI has now opened early access applications for ShieldFlow.
Liquid AI Launches Local Data Anonymization Tool ShieldFlow
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Summary
Liquid AI has launched ShieldFlow, a local data anonymization tool compatible with the Liquid Foundation Model and designed to run offline on standard PCs. This AI-powered crypto news tool automatically masks sensitive data, ensuring privacy without requiring cloud transmission. Optimized for low resource consumption, ShieldFlow requires no GPU and enables real-time performance. It was demonstrated at COMPUTEX 2026 and Microsoft Build 2026. Early access is now available, allowing users to securely process inflation data and other sensitive tasks directly on their devices.
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