White Paper

The Guide to Reducing Re-Identification Risk with Data Masking

Data privacy techniques, while thorough and advanced, are often not sufficient to ensure privacy on their own. In today’s broad and evolving data landscape, a multi-faceted approach can better protect against potential threats — and it doesn’t have to be labor-intensive for data teams.

In this guide we’ll explore how to reduce re-identification risks by implementing three privacy enhancing techniques (PETs):

  1. k-Anonymization
  2. Randomized Response
  3. Sampling

Download the guide to learn more about the methodology behind each technique, and why they are most effective when executed in tandem.