SafeNet has announced the extension of its ProtectFile solution to include the transparent and seamless encryption of sensitive data at rest in Apache Hadoop clusters. With SafeNet’s ProtectFile for Linux, organizations that have deployed or are planning to deploy Hadoop to support growing volumes of big data can now secure high-value information without impacting Hadoop performance or the end-user experience.
While Hadoop provides scalable, cost-effective storage and fast processing of large data sets, securing information in big data implementations presents a significant challenge for organizations. Hadoop stores data in clusters that it distributes across hundreds to thousands of data nodes. However, Hadoop lacks the ability to completely secure the data at rest residing in the nodes of those clusters. Unprotected, each data node represents a potential entry point for a rogue insider or malicious threat, and leaves sensitive data in clear view should an unauthorized user or service gain access. This presents a tremendous, and potentially costly, risk for organizations.
“Organizations are playing a balancing act between capitalizing on Hadoop’s scalability and efficiency to uncover value in big data and protecting high-value information in their implementation. With the volume of data that a company generates growing exponentially and the number of breaches on the rise, security must be a priority with Hadoop deployments. ProtectFile enables companies of every size to lock down sensitive data at rest in clusters without impacting Hadoop performance, and can also support compliance mandates, such as PCI DSS and HIPAA, in big data implementations,” said Todd Moore, Vice-President, Encryption Products, SafeNet.
In addition to the release of ProtectFile for Linux, SafeNet has also announced availability of an updated version of ProtectFile for Windows that enables transparent and automated file-system-level encryption of server data in the distributed enterprise in Windows environments.
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SafeNet helps enterprises with advance Big Data Security Solution
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