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How to De-Identify Sensitive Data with Libelle DataMasking

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You’ve heard of data quality, but what about data masking?

In order to protect data that is classified as personal, identifiable, or sensitive—and to also have the ability to use that data during app development, test cycles, and analytics—data masking removes the original data and replaces it with usable, non-sensitive data.

This e-book digs into the data masking essentials and will demystify the topic.

Access now to learn how to apply data masking to analytics and see an example in action.

Vendor:
Libelle
Posted:
16 Jul 2020
Published:
16 Jul 2020
Format:
PDF
Length:
21 Page(s)
Type:
eBook
Language:
English

This resource is no longer available.