💡 Download the complete guide to AI-generated synthetic data!
Go to the ebook


Anonymization refers to the different techniques used to de-identify datasets, that is, to make sure that subjects in a dataset cannot be reidentified. Traditional anonymization techniques such as adding noise or grouping data retains a 1:1 link to original data subjects and re-identification risk remains. Behavioral or time-series data is especially hard to anonymize due to the unique patterns of the chronologically ordered events described by such datasets.

Ready to try synthetic data generation?

The best way to learn about synthetic data is to experiment with synthetic data generation. Try it for free or get in touch with our sales team for a demo.