Synthetic Data vs. Data Masking

Companies that gather data about their users have an ethical obligation and legal responsibility to protect the personally identifiable information in their dataset.  Ideally, developers working on a software application wouldn’t need access to production data. Yet without high-quality example data, many technology groups stumble on avoidable problems.  Organizations need a solution to protect privacy while simultaneously preserving aspects of the data which are important.

Tonic is automating data synthesis to advance data privacy.  Their solution gives your production-like data for development and analytical purposes without compromising on data quality or privacy.  In this episode, We interview Tonic’s CEO Ian Coe, and Head of Engineering Adam Kamor.