Data Masking is a form of encryption that creates a similar, yet inaccurate version of an organisations data. This data can be interpreted by the organisation, so is functional and can be used in place of the real data.

“Encryption is an essential part of an organisation’s security portfolio, securing data whilst it is in transit or not being used,” says Jes Breslaw, director of strategy at Delphix. “However, it does not solve one of the biggest challenges when protecting sensitive data: when it is being consumed by business applications.

“Data masking is the complementary solution to encryption that solves this problem by replacing sensitive information with fictitious, yet realistic data. What makes masking attractive is that it keeps data safe and of good quality; yet, unlike encrypted data, masked data can’t be reversed – it’s one way.”

The upcoming deadline for GDPR means that this form of technology is growing in use, as it not only hides direct consumer data, but also indirect data linking to an individual.

“In order to mask data, some companies create their own masking scripts, or turn to legacy vendors with bloated interfaces that require high levels of expertise,” explains Breslaw.

“The reason they fail is that translating large amounts of data is a slow and costly exercise delaying projects and forcing departments to use poor quality data. Worse still, many don’t protect data at all, something that GDPR will not forgive. Dynamic Data Platforms combine data masking with modern approaches to virtualising and automating the delivery and securing of data.”

The article was originally published here.