7 techniques for de-identifying data
How can you ensure the safety of the data associated with your employees, patients, partners or customers?
De-identifying, or anonymizing, replaces raw data values with safer alternatives in places where unauthorized people could use sensitive data in your datasets to identify these data subjects.
Open this e-book to learn how the following 7 techniques aim to help you protect your sensitive data in data-driven use cases:
- And 4 more