Privacy Analytics Recognized as a Visionary in Gartner’s 2015 Magic Quadrant for Data Masking Technology, Worldwide

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Proven de-identification methodology and software provides a leading edge, risk-based approach that goes beyond common industry masking techniques to produce high quality data sets for sophisticated healthcare research and analytics.

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To responsibly share sensitive personal data for secondary use, organizations need to thoroughly understand and review how they are managing data privacy risk.

Privacy Analytics Inc. (, the leading provider of software that safeguards and enables personal health data for secondary purposes, announced today that it has been recognized for the second time as a Visionary by Gartner in a recently released 2015 Magic Quadrant for Data Masking Technology, Worldwide.

Gartner is a global information technology research and advisory company. Gartner’s annual market research reports provide qualitative analysis into a market and its direction, maturity and participants.

“As the volume of data continues to grow at a rapid pace, more organizations in healthcare, insurance, financial services and other industries are seeking to maximize the usefulness and value of their information while safeguarding privacy and remaining compliant with regulations,” said Khaled El Emam, Founder and CEO, Privacy Analytics. “We’re very pleased to have moved up in the Visionaries Quadrant this year for ability to execute. We believe our de-identification and risk determination projects meet the demand for many different uses of data across all of these industries.”

Privacy Analytics’ CORE software unlocks the potential for faster, better health data analytics, allowing researchers and data analysts to easily assess the risk of re-identification and apply a responsible de-identification methodology. Using this approach, organizations can produce high quality, custom data sets for specific secondary purposes while ensuring individual patient privacy and regulatory compliance.

“While the terms are often used interchangeably, there is a big difference between data masking and de-identification,” said El Emam. “In many instances, commonly used masking techniques can leave data sets exposed to significant risk for re-identification and to notification requirements if there is a data breach. A responsible de-identification methodology and tools are needed to assess and manage the risks associated with the specific use of the data in order to produce a data set with the greatest value for research and analytics and the lowest level of risk for re-identification.”

Privacy Analytics’ software is being used by seven of the top 10 Fortune 500 healthcare companies as well as leading academic and research organizations to help manage the risk of exposure and produce de-identified data sets. Privacy Analytics' Risk Monitor tool helps organizations balance privacy compliance with the increasing demand to share high quality data, both internally and externally, for secondary purposes such as research, analytics, quality and safety measurement, monetization, marketing and other commercial uses.

“To responsibly share sensitive personal data for secondary use, organizations need to thoroughly understand and review how they are managing data privacy risk,” said Pamela Neely Buffone, Vice President of Product Management, Privacy Analytics. “Successfully applying risk-based de-identification strategies is critical to driving innovative analytics, deriving key insights and gaining new knowledge that can lead to faster and better treatments and cures for a wide range of health conditions and diseases such as cancer, HIV, and diabetes.”

Privacy Analytics has continued to sharpen its focus on the US healthcare market, while expanding to Europe and Asia, and serves additional clients in the financial services and telecommunications industry.

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Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner, Magic Quadrant for Data Masking Technology, Worldwide, Ayal Tirosh, Marc-Antoine Meunier, 22 December 2015.

About Privacy Analytics

Privacy Analytics ( allows healthcare organizations to quickly and easily apply a responsible de-identification methodology that ensures individual privacy and legal compliance. Privacy Analytics is the only company to offer expert training, software, peer-reviewed methodology and valued-added services that protect the privacy of individuals while allowing organizations to share data for secondary purposes. Privacy Analytics customers represent half of Fortune 50 healthcare companies. Privacy Analytics’ software is compliant with regulations and globally accepted standards and guidelines, including those from the Institute of Medicine (IOM), Health Information Trust Alliance (HITRUST), PhUSE, the Council of Canadian Academies, as well as HIPAA and the EU Data Protection Directive 95/46/EC.

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