Faking Data Using Tonic.ai with Ian Coe and Adam Kamor
Data Archives - Software Engineering Daily
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Tonic
It's promising that the methods hold up across a anonymization process. You know, it's certainly something you can't take for granted. I think the real trick to it is actually training the models against the data in the table. We see a lot of customers using us to help with g p r compliance - making your data substantially resistant to reverse engineering.
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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.
