Threat: Insecure Hadoop Clusters

Protecting Sensitive Data in Hadoop

HPE SecureData’s data-centric approach protects sensitive data end-to-end from the moment of capture, as it is processed, and stored across a variety of devices, operating systems, databases, and applications. This data-centric approach helps enterprises neutralize data breaches by rendering data valueless, de-identifying data through encryption, tokenization and data masking. HPE SecureData Enterprise solution includes market leading HPE Format-Preserving Encryption (FPE), HPE Secure Stateless Tokenization (SST), HPE Stateless Key Management, and data masking.

Insecure Hadoop Clusters

Enterprises are rapidly adopting Hadoop, gaining large-scale analytics for very low cost. But inevitably attackers will target sensitive data in Hadoop, and traditional IT controls cannot fully protect the data. Enterprises need to augment infrastructure controls and governance with protecting the data itself to fully secure Hadoop.

HPE SecureData Data-Centric Security in Hadoop Protecting Data at Rest, in Use and in Motion

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More Information

Voltage SecureData for Hadoop and IoT

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Protecting Enterprise Data in Hadoop

Read Technical Brief

Voltage SecureData for Vertica – Securing Sensitive Data

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Voltage SecureData for Teradata

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Data De-Identification

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Data Protection and PCI Scope Reduction for Today’s Businesses

Read White Paper

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