Data Masking

What is the difference between data masking, de-identification, and anonymization?

These terms come up often in discussions about data privacy, but their definitions are sometimes unclear. In this video, Grant…

How to Safely Navigate Beyond Masking

Healthcare organizations realize the only way to stay ahead of the game is to leverage data for strategic insight. When…

The Problem with Data Masking Techniques

It is no longer a secret – many healthcare organizations are sharing health data. More standards are emerging as a…

Visionary in Gartner’s 2015 Magic Quadrant

Privacy Analytics recognized as a Visionary in Gartner’s 2015 Magic Quadrant for Data Masking Technology, Worldwide for the second year…

Blurred Lines

Avoid blurred lines: data masking and real de-identification are not the same Often confused, data masking and de-identification are not…

What does Anonymization mean?

Understanding this key term could be crucial to driving the success of your de-identification practices The term anonymization comes up…

Perspectives on De-Identification

Has your organization been considering de-identification? It’s not a simple undertaking to use Protected Health Information (PHI) for secondary purposes….

Does Data Masking Work?

Safe Harbor data masking looks like de-identification in disguise: don’t be fooled! We have often heard that data masking does…

Avoid the Blur of Data Masking

Don’t blur the lines between data masking and real de-identification; learn more in this Privacy Analytics white paper.

Top 5 Drawbacks to Using Only Data Masking

Find out more about the top 5 drawback to using only data masking on health data in this Privacy Analytics white paper.

De-identification 201

De-identification 201 builds on the fundamentals of health data de-identification.

Webinar: Live Q and A with the Experts

Join Khaled El Emam and Luk Arbuckle on March 26th, 2pm, as they answer all your de-identification, data masking, and…

Free Webinar: De-Identification 101

Join Privacy Analytics for a high level introduction of de-identification and data masking.
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