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Use cases

IBM InfoSphere data security and privacy capabilities help organizations address several critical requirements for protecting data, improving efficiency and reducing costs.

Secure and Protect Enterprise Data
Protect data, improve data integrity, mitigate the risk of breaches, and reduce compliance costs

Increase Efficiency of Application Development and Testing
Speed delivery of test data; mask sensitive data to protect privacy, and automate the creation of right-size test data, reducing application development time and cost.

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Magic Quadrant for Data Masking Technology
Gartner reports that data masking should be mandatory for enterprises using copies of sensitive production data for application development, analytics or training.
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Understanding and Selecting Data Masking Solutions
Learn how to create a flexible, real-time data masking approach to de-identify sensitive data across the enterprise while also promoting business objectives.
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Business Driven Data Privacy Policies
Establish and enforce dynamic enterprise data privacy policies to support compliance and protect sensitive data to respond to threats in real time
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Closing the Data Privacy Gap
Protecting Sensitive Information in Non-Production Environments
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