Data Privacy Best Practices for Data Protection in Nonproduction Environments

There is a growing need to protect sensitive employee, customer, and business data across the enterprise wherever such data may reside. Until recently, most data theft occurred from malicious individuals hacking into production databases that were made available across the Internet. With a number of well-publicized and costly thefts creating both tremendous legal liability and bad publicity for the effected organizations, business has quickly grown more and more sophisticated in protecting against such schemes.

While the industry deals with the most egregious aspects of data theft, an important tier of computer data remains practically untouched and unprotected by today’s new data security procedures: nonproduction systems used for in-house development, testing, and training purposes are generally open systems and leave a large hole in the data privacy practices at companies of all sizes.

This white paper discusses best practices for creating data privacy procedures in nonproduction environments. These procedures include creating a comprehensive set of policies to classify data types that need to be protected, integrating these policies into day-to-day business processes, providing ongoing compliance reviews, using a proven commercial solution for masking sensitive data in all nonproduction environments, and integrating these privacy processes and technology across the enterprise.

Source: http://vip.informatica.com/?elqPURLPage=6579&gclid=CJ_v9uupiaUCFQbPbgodMjdpMQ

62 Comments to “Data Privacy Best Practices for Data Protection in Nonproduction Environments”

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