The anonymization of personal data meets the security challenges of data sets extracted from IT systems.
In this practical guide, you will discover:
The main use cases of personal data anonymization.
- A reminder of the different data anonymization techniques, from data masking to randomization, through pseudonymization or data generalization, each of them responding to different use cases.
- The best practices and steps to follow to succeed in your anonymization project.