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Vormetric Extends Encryption to Big Data Platforms

High performance, scalability make data security transparent in largest Hadoop, Cassandra, and MongoDB environments.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Vormetric, Inc., a specialist in enterprise encryption and key management, has announced that Vormetric Encryption now secures structured and unstructured information stored in big data platforms including Hadoop, Cassandra, and MongoDB. Unlike relational databases, these new platforms, which are used to store and analyze huge volumes of data from social networks, customer behavior, sensors, IT systems, and other sources, lack basic security controls. Vormetric ensures data in these platforms is protected against unauthorized disclosure and removes custodial risk associated with infrastructure providers and administrators.

Vormetric Encryption enables enterprises to transparently encrypt and control access to big data. These repositories introduce a new and large target for malicious parties seeking to compromise private data. If hackers compromise an organization’s perimeter defenses, they can gain unrestricted access to a wealth of data stored in one place. Vormetric Encryption places controls on the data itself to establish a comprehensive last line of security.

Protecting sensitive data in big data environments augments Vormetric Data Security’s existing ability to protect structured and unstructured data in Linux, Unix, and Windows environments. With Vormetric, enterprises can unify encryption policy and key management for Big Data across physical, virtual and cloud infrastructures using a single system.

Vormetric Encryption with support for Hadoop, Cassandra and MongoDB is available immediately. More information is available at

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