Masking
Data masking is a method of creating a structurally similar but inauthentic version of an organization’s data that can be used for purposes such as software testing and user training. The purpose is to protect the actual data while having a functional substitute for occasions when the real data is not required.
References
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Learn what data masking means, how it is done, and its benefits to your organization.🔗blog.hubspot.com -
Business organisations today are handling massive volumes of data at various levels in their operation. With digitization being implemented on a huge scale, data breach is now among the primary concerns that business entities are either facing or fearing. In this blog post, we will touch upon data masking - one of the most popular ways to secure sensitive data.🔗Thales blog -
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Data masking, or obfuscation, is the practice of intentionally randomizing data to secure it. A big part of GDPR, learn data masking techniques here.🔗BMC Blogs -
The definition of data masking can be found in our guide to data integration technology nomenclature. Discover today & find solutions for tomorrow.🔗informatica.com
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Data masking is a method of creating a structurally similar but inauthentic version of an organization's data that can be used for purposes such as software testing and user training. The purpose is to protect the actual data while having a functional substitute for occasions when the real data is not required.🔗Security -
This guide to data masking explains what is data masking and why we need it. It concludes with data masking examples and best practices.🔗AI-driven E2E automation with code-like flexibility for your most resilient tests