Show HN: MaskWise: Redact, mask, and anonymize data in training files for LLMs
github.comIf you’re working with LLM training data (like I often am), you’ll know how tricky it can be to scrub out PII without breaking the dataset. I have been using MS Presidio for some time and decided to build a UI on top of it. This is a tool that scans and recognizes sensitive bits in text (eg names, emails, addresses etc), processes images to mask whats sensitive and handles structured data.
Everything is written in ts + nodejs, with great help from Claude Code :) It's still early so feedback & contributions are more than welcome.
An important issue. how does this compare with llm-guard, and the ability to create a “vault” to later de-anonymize?
Maskwise and LLM Guard serve different stages of the AI pipeline. llm-guard basically filters prompts and responses to prevent prompt injection attacks. Maskwise is for preparing datasets before LLM training/fine-tuning. It processes large document collections (PDFs, Office docs, images) to detect & anonymize PII.
Vault is in the works :)