The path to data anonymity: from de-identified data to privacy-preserved synthetic data

White paper


Regulatory requirements, cybersecurity risks, and digital transformation are strong arguments for implementing reliable and appropriate privacy measures within the enterprise. But how can one ensure the efficient use of data while maintaining consumer privacy and regulatory compliance?

To answer this, we must first understand the nature of data privacy and the available technology options. This white paper is a resource for organizations seeking to gain a deeper understanding of data privacy preservation techniques.

you'll learn about

  • the standard de-identification methods, 
  • the distinction between de-identified and anonymized data,
  • how privacy-preserving synthetic data can answer to the shortcomings of traditional methods.

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