SafeNet, Inc. 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.
“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 implementations,” said Todd Moore, vice president, Encryption Products, SafeNet. “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.”
ProtectFile for Linux delivers a complete security solution for Hadoop by providing transparent and seamless encryption of sensitive data stored in Apache Hadoop clusters. It presents limited drag on performance and no re-architecting of existing big data implementations is required. ProtectFile features automation tools for fast, easy roll-out and standard deployment to multiple data nodes in a Hadoop cluster. Like other SafeNet encryption and authentication products, ProtectFile provides centralized key and policy management, so organizations have complete control over encryption keys, as well as the ability to define and enforce granular access controls to protect against unauthorized access.
In addition to the release of ProtectFile for Linux, SafeNet also announced the availability of an updated version of ProtectFile for Windows that enables the transparent and automated file-system-level encryption of server data in the distributed enterprise in Windows environments.
