How Deep Natural Anonymization Protects Privacy in the Age of Machine Learning

1. December 2022

Often companies need to trade off between privacy and progress. Technologies that fuel innovation, such as AI, machine learning, and video analytics, need enormous amounts of data. However, personal privacy is tightly controlled by data protection regulations. Those who are not compliant will face millions of euros of fines, reputational damage, and loss in revenue.

This report explains how Deep Natural Anonymization (DNAT), a generative AI-based technology, has changed the game. By preserving the quality of the original data while ensuring compliance to global standards, it eliminates the compromise between privacy and innovation.

In this whitepaper, you will learn:

  • How the current data protection landscape looks like
  • Why is DNAT the state-of-the-art anonymization solution
  • How DNAT resolves the progress v privacy dilemma
  • How DNAT is used in various industries

 

Download the full whitepaper