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Data Masking and Cache: A Better Cost-Effective Approach

Organizations are tackling this critical problem by greatly increasing the security of their production environments, as well as searching for ways of removing sensitive patient data from their non-production environments.

Many large health care organizations in the U.S. and around the world have critical applications that depend on Cache data storage. These organizations are under increasing pressure from governmental regulations as well as the marketplace to safeguard the vast amount of patient information they have collected over the years.

Organizations are tackling this critical problem by greatly increasing the security of their production environments, as well as searching for ways of removing sensitive patient data from their non-production environments. Organizations trying to remove the sensitive data from Cache globals face a daunting task.

They need to find the sensitive data and de-identify it, all without disrupting ongoing application development and testing activities. To find the sensitive data across a large environment is a complex and expensive programming task, requiring a detailed understanding of the globals being inspected.

De-identify the sensitive data involves several unappealing options: to simply delete the sensitive data, replace the data with XXXs, or manually replace the sensitive values with fake values. These several options either a) make the data unusable for their QA department or b) are extremely expensive and difficult to implement.

Now, there is a better way. Axis Technology Software has been in the business of de-identifying data for over ten years and has a proven, industry-leading, automated process at the core of which is its flagship software product, DMsuite. DMsuite has helped some of the worlds largest institutions reduce their risk of a Cyber Attack or of a non-Production data privacy event, and now we have introduced a solution tailored specifically for the large installed base of Cache customers.