skip to Main Content Anonymization of personal and sensitive data

Protecting personal data such as name, address, and date of birth, as well as other identifiers, play an important role in every company, especially with regards to the EU General Data Protection Regulation (GDPR). If documents have to be processed outside the company for processes such as external audits, archiving or analytics the personal information contained in your data has to be anonymized beforehand.

Simple keyword-based methods aren’t able to carry out automatic anonymization in real-life documents. The Glanos Anonymization solution combines linguistic and machine-learning methods (hybrid approach) , which makes it possible to identify and anonymize sensitive information such as name, address and date of birth out-of-the box without manually annotated training data. Further customization and optimization by training are possible.

Advantages of our solutions:

  • Customers get access to the Glanos Anonymization web dashboard locally or online to control the automatic automatization their own.
  • Reliable anonymization with the help of linguistic and AI-based methods from the first data set.
  • Improvement of results after providing only a few training documents
  • Continuous improvement of quality thanks to self-learning algorithms

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