De-Identification Requires a Platform Approach

The scope of data, users and purposes in your enterprise is vast. You need a data privacy platform that can meet the requirements for every context; a simple one size fits all using only data masking or data tokenization will fall flat.

That’s why the Privitar Data Privacy Platform™ enables you to select from the full range of de-identification techniques in any combination so you can tune the data resolution and re-identification risk according to each individual analysis, model or use.

Access Privitar’s Guide to De-Identification

The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one of the fundamental components of data privacy.

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Understand Data Context

A successful data privacy program takes full account of data context. Context includes:

Dataset required for each analysis/model
Combinations of direct and quasi-identifiers
Different access rights and privileges of the employees and third parties
Data users’ access to other datasets that could be used in a linkage attack
The questions asked and insights sought

This context determines how you will combine de-identification techniques in a Protected Data Domain.™

De-Identification Techniques

Once you understand the data context, you are equipped to select and apply the right de-identification techniques from Privitar’s full roster in any combination to the direct and quasi-identifiers.

Perturbation
Redaction
Substitution

Advanced De-Identification Capabilities

It’s not just about having the full set of de-identification techniques from which to choose for a given data context. Privitar also provides you the flexibility to decide when to preserve consistency, format and reversibility.

For advanced data privacy programs, only the Privitar Data Privacy Platform layers on the capabilities of SecureLink™ and differential privacy – giving you the power to safely combine, share or release data.

De-Identification

De-Identification Requires a Platform Approach

Access Privitar’s Guide to De-Identification

Understand Data Context

De-Identification Techniques

Advanced De-Identification Capabilities

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Privitar’s Guide to De-identification

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