The White House Released Rampart, a 14.7MB AI Model That Redacts Your Data

    The National Design Studio's open-source model strips personal information in your browser before it reaches any server, and it beats a filter from OpenAI that is 190 times larger

    The White House Released Rampart, a 14.7MB AI Model That Redacts Your Data The National Design Studio's open-source model strips personal information in your browser before it reaches any server, and it beats a filter from OpenAI that is 190 times larger Aaron Rafferty June 30, 2026 Key Takeaways The National Design Studio, a White House office, released Rampart, a 14.7MB open-source AI model that redacts personal information in the browser before any data is sent to a server. Rampart reports 98.4% recall across seven languages and runs in under four milliseconds, using local processing so sensitive data never leaves the device. At 14.7MB it is roughly 190 times smaller than OpenAI's 2.8GB privacy filter, and its builders say it is also more accurate. A White House office has released its own open-source AI model, and it is built to protect privacy. The National Design Studio introduced Rampart , a 14.7MB model that redacts personal information directly in a web browser before any text is sent to a server or a chatbot. It runs on a person's own device, so sensitive data never leaves it. How Rampart works Rampart uses two layers. A rules-based check catches Social Security numbers and credit card numbers with checksum validation, and a small AI model catches names and addresses that rules alone would miss. The model reports 98.4% recall across seven languages and runs in under four milliseconds on a browser GPU, using ONNX Runtime Web so nothing sensitive reaches external servers or logs. The code is open and posted on GitHub and Hugging Face for anyone to inspect or build on. Smaller and sharper than a giant The detail that traveled fastest is the size. Rampart is 14.7MB. OpenAI's own privacy filter is about 2.8GB, roughly 190 times larger, and Rampart&#

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