New Delhi [India], Sep 6 (ANI
): The world leader in digital security Gemalto has announced a major expansion of its industry-leading SafeNet data protection portfolio that makes it easier for enterprises to protect big data deployments in the cloud, data center, and virtualized environments.
Gemalto's SafeNet data encryption and tokenization solutions can now be used to secure data in the most widely used big data environments through technology integrations with leading providers including MongoDB, Cloudera, Couchbase, DataStax, Hortonworks, IBM, and Zettaset.
In addition to offering the industry's broadest support for big data encryption, Gemalto also gives 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 to data storage.
Customers can use SafeNet ProtectApp and SafeNet ProtectDB to implement format-preserving encryption into applications or utilize encryption at the column-level within a database for security that doesn't change the data's format or the database schema.
Organizations can utilize the entire SafeNet data protection portfolio across Hadoop infrastructures to secure data at the file, folder, database, application and disk or block levels.
, Hadoop users can protect their files with encryption and continue to benefit from the analytics tools that make big data implementations so attractive.
This flexibility in deployment comes with granular access controls all of which is unified behind the SafeNet enterprise key management platform.
Customers can now 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 to solutions to protect big data stored in the most widely used cloud platforms, including Amazon Web Services, Microsoft Azure, IBM SoftLayer
, Google Cloud Platform
, Rackspace, CenturyLink, VMWare, and Virtustream. (ANI