Challenge

In the wake of data privacy laws, data loss prevention was a big concern for a global healthcare company with complex IT infrastructure needs. They were looking for a top provider of data masking services to de-identify huge volumes of personally identifiable information (PII) in multiple formats sitting in both production and non-production environments. The company needed a complete solution to comply with their internal controls, the GDPR and other data privacy legislation.

Specifically, our team took on the following challenges:

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Provide Data Masking as a Service to protect sensitive data in the client’s complex ecosystem consisting of relational databases, cloud apps and unstructured sources

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Create an ML-driven solution to find and mask PII for the staging/development environments

Solution

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A turnkey process performing data masking operations on demand to meet development and testing needs across the enterprise

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A custom Python app using an ML model for processing data sources upon request, providing a list of sensitivity attributes, such as the level of sensitivity and the PII type, and suggesting an appropriate masking technique based on the identified attributes

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A data masking framework based on Informatica TDM that performs anonymization procedures

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A Python bootstrap application for masking SalesForce data by automatically generating jobs in Informatica Cloud

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Rules for sensitive data identification

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Data dictionaries that can be used for data substitution