7 techniques for de-identifying data

Cover Image

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:

  • Redaction
  • Encryption
  • Tokenization
  • And 4 more
Vendor:
Privitar Inc
Posted:
Apr 29, 2022
Published:
Apr 30, 2022
Format:
HTML
Type:
eBook
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