Comparing classical ML, neural networks, DistilBERT, and Phi-4 for multilingual PII detection in LLM prompts.
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Updated
Aug 3, 2026 - Jupyter Notebook
Comparing classical ML, neural networks, DistilBERT, and Phi-4 for multilingual PII detection in LLM prompts.
Browser extension that catches PII in your prompt and lets you redact it before it leaves your machine - local detection, reversible tokenization, zero network calls.
Redact PII in the browser before a prompt ever leaves the machine, then rehydrate the reply locally: 11 entity types, Luhn/SSN/IBAN checksum validation, and a type-checked Egress Guard on the send path. TypeScript. 173 tests, 100% coverage.
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