Why is masking your unstructured data vital for GDPR compliance?

GDPR (General Data Protection Regulation) is not just another piece of data compliance regulation, it will be potentially one of the major challenges that the IT organization will need to address in the next few years.

To ensure data compliance under GDPR, organizations need to minimize the use of real personal data in testing and development environments. Hence moving away from the practice of grabbing copies of live production data for non-production environments.

Data masking allows organizations to protect sensitive data in live environments by replacing the original data with fictitious or synthetic data, in other words it anonymizes records containing personal data while maintaining its contextual and referential integrity (i.e. The customer's name 'Michael' would be masked to become 'David', and his original social security number will be masked into a set of fictitious 9-digit numbers), this way, key IT and business processes like software testing, development, training and analytics can continue to happen, but risks of personal data being hacked would be eliminated as all sensitive records in such environments are no longer a liability.

Dynamic data masking or pseudonymization allows admins to mask certain sensitive records in real-time upon query, so that such data is desensitized in live production environments depending upon requester's access levels, network, location or device, this technique is also called 'Redaction on the fly' or 'Intelligent redaction'.

With the amount of legacy systems and highly complex unstructured data across multiple databases, organizations are faced with the challenge of tracing and protecting customers and employees personal data including names, addresses, phone numbers, social security number, financial information, and other personally identifiable information (PII).

When it comes to QA, development, analytics, and training, there is no doubt that there will be traces of unstructured data files that will need to be included in order to perform key procedures effectively, as removing such files would cause significant disruptions.

Current data masking tools does not bridge the gap in masking unstructured data files such as PDFs, Images, emails, flat files, MS Office docs, etc. Lisbontech UDM is the only solution that specifically addresses the need to mask personal data in unstructured file formats across the enterprise.

Learn more by downloading our complimentary eBook 'Unstructured Data: Your Achilles heel for GDPR'.

Request a live Demo of Lisbontech UDM to see how you can benefit from protecting your largest and most vulnerable dataset: unstructured data, and thus completing your organization's data privacy compliance circle.

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