Gemalto expands big data security portfolio
Enhanced encryption capabilities provide flexibility for enterprises to protect big data deployments
Digital security provider, Gemalto, has announced the expansion of its SafeNet data protection portfolio, enabling enterprises to protect big data deployments in the cloud, in data centres and virtualised environments.
Furthermore, Gemalto also provides enterprises the flexibility to secure big data according to the specifics of their configurations at the application, file, database and disk or even block levels. This means that regardless of the data source, customers can apply transparent encryption and pervasive data security anywhere in the flow of big data across their enterprise, from data creation to data transport and data storage.
Sebastien Pavie, regional director, MEA, Identity and Data Protection, Gemalto, said: "Given the growing volume of data and the variety of its sources, securing big data deployments has become a major challenge for data driven organisations. The SafeNet data protection platform gives enterprises the ability to secure big data across the broadest range of data formats and deployment environments, giving them greater confidence in protecting the vast amounts of data from the edge to the core."
The benefits include advanced format preserving encryption, meaning customers can use SafeNet ProtectApp and SafeNet ProtectDB to implement this type of encryption into applications. They are also able to protect data in any NoSQL database including leading database vendors such as MongoDB, Cassandra, Couchbase, and HBase.
Customers can seamlessly use the SafeNet data encryption and enterprise key management solutions to protect big data stored in common cloud platforms, including Amazon Web Services, Microsoft Azure, IBM SoftLayer, Google Cloud Platform, Rackspace, CenturyLink, VMWare, and Virtustream.
Garrett Bekker, senior security analyst at 451 Research, added: "Aside from the sheer volume of data it can create, one of the challenges with providing security for big data environments is the diversity of architectural choices across the various big data distributions. By providing a way to protect data at a variety of tiers such as file, database, and application levels, organisations will have the flexibility to secure their big data regardless of the particular big data use case."