Safeguarding the privacy of data is not just good business practice, in many cases, it's now the law. "De-identifying" confidential data in test and development systems is one of the best ways to protect privacy and support compliance initiatives.
We implement the IBM Optim Data Privacy Solution for many clients by masking and transforming the sensitive data in their test and development systems. By masking personal information, IBM Optim protects the privacy and security of confidential customer and employee data, and ensures compliance with local, state, national, international, and industry-based privacy regulations. Data de-identification enables developers, testers and trainers to use realistic data and produce valid test results, while complying with privacy protection rules. De-identified data is generally considered acceptable to use in non-production environments, and ensures that in the event the data is stolen, exposed or lost, it will be of no use to anyone.
One notable data privacy client success started with a proof of concept (POC). We joined hands with IBM Global Services for a quick implementation of a custom application deployed on an Informix database with HP UNIX, masking various fields across seven hundred database tables. The major objective was to reduce the 5-day effort to create a privatized test system, with a small subset of masked data. By implementing Optim Test Data Management and Data Privacy Solutions, we reduced the process, repeatedly, to one day.
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