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Data classification is vital as it is useful in supporting controls for data security and governance such as data loss prevention (DLP),

data access governance and enterprise digital rights management (EDRM). It also helps organizations to understand data in the context of its usage and risk levels. However, Gartner observes that unstructured data is becoming increasingly difficult to manage. As a result, the individuals or systems that are tasked with processing information rarely classify, label or enforce controls on every piece of data. This inconsistency makes classification unreliable as a driver of and means of support for data security and compliance efforts. Organizations need a practical data classification approach that provides a foundation for the business to understand and address the mitigating measures necessary.
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GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
 
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Cybral.
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