Gartner 2019 Data Masking Market Guide

Gain insights to data protection technologies for privacy regulations, cloud migration, and data analytics

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Privacy regulations, migration to the public cloud, and data analytics projects are driving strong interest in this technology market.

Why read the report?

The Gartner Data Masking Market Guide provides insights to your options for balancing data protection strengths with data usability and utility. For example, big data analytics scenarios can make effective deidentification difficult due to the impact on data utility. Gartner states, “therefore consider approaches such as tokenization and format-preserving encryption.”

First in the Guide’s Market Recommendations: “Review your data security and compliance roadmap. Focus on vendors that offer more than one type of data deidentification technology and support consistent policies across your deidentification scenarios, applications and platforms on-premises and in the cloud.”

Why Micro Focus Voltage is your best choice to protect data end-to-end!

Simplify data privacy compliance in applications, big data analytics, and hybrid IT. Voltage offers data protection technologies including Format-Preserving Encryption (FPE), Format-Preserving Hash (FPH), data masking, and Secure Stateless Tokenization (SST) to de-identify sensitive data and allow continued use of the data in its protected state. Voltage supports the industry’s broadest range of platforms and systems, and provides flexible implementation and encryption for structured data types in any language, any region.

Is your data protected throughout its lifecycle? Download the Gartner Market Guide for Data Masking for insights to protect your most valuable assets across use case scenarios!

Gartner, Market Guide for Data Masking, 25 November 2019, Marc-Antoine Meunier, Dale Gardner, Zaira Pirzada. 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 any 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, express or implied, with respect to the research, including any warranties or merchantability or fitness for a particular purpose.

End to end encryption, hashing, data masking and tokenization for data security in hybrid IT
release-rel-2020-11-1-5433 | Wed Nov 11 20:52:47 PST 2020
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Wed Nov 11 20:52:47 PST 2020