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Documents are the fuel of AI — but they contain personal data. Synthetic data allows organizations to preserve realism and context while eliminating legal risk. In this article, we explain how to safely prepare documents for use with LLMs.
More and more organizations want to use AI and LLMs to work with documents, but personal data remains a major legal and operational barrier. We explain why document anonymization is a key element of secure AI deployments and how to prepare data in line with GDPR and privacy by design principles.
This article explains the differences between anonymization and pseudonymization of medical documentation in Poland and discusses the position of the President of the Polish Data Protection Authority (UODO), who highlights the need to amend national legislation to enable the safe use of health data in scientific research. It also presents how Mycroft Sweeper and dedicated Mycroft Solutions technologies support institutions in protecting medical data.
In recent years, anonymization tools have become increasingly “intelligent” — yet, paradoxically, less practical. Many of them are built around technology first, not the people who actually use it. And that’s a problem, especially when dealing with something as sensitive as personal data.
Protect your Public Information Bulletin from data leaks. Mycroft BIP Scanner detects personal data in BIP, while Sweeper anonymizes documents locally and securely.
Document anonymization made effective, secure, and fully GDPR-compliant. Discover Mycroft Sweeper — a local AI-powered tool for anonymizing PDFs and scans, optimized for the Polish language.
