Real Time Security for Big Data Environments

As information grows in volume, variety, and velocity, organizations are looking beyond relational data sources to find insights, to make businesses more agile and to answer questions that were previously considered beyond their reach. Today, state of the art technologies including Hadoop based environments have opened the door to a world of possibilities.  At the same time, as organizations ingest more data, they face significant risks across a complex threat landscape and they are subject to a growing number of compliance regulations. Traditional approaches to data protection are often unable to meet these requirements.

With today’s announcement, IBM is among the first to offer data security solutions for Hadoop and other big data environments. Specifically, Guardium now provides real time monitoring and automated compliance reporting for Hadoop based systems such as InfoSphere BigInsights and Cloudera. With federated controls across data sources, clients can understand data and application access patterns help prevent data leakage and enforce data change controls.  Built-in audit reporting can be used to generate compliance reports on a scheduled basis, distribute them to oversight teams for electronic sign-offs and escalation, and document the results of remediation activities. Organizations can also automate the detection of vulnerabilities and suggest prioritized remedial actions across heterogeneous infrastructures. In addition, IBM offers data masking to de-identify sensitive data as it moves into and out of big data systems.

In addition to securing data in multi-perimeter environments IBM is announcing improvements to data encryption management that allows organizations to automate key recovery and support the latest version of the Key Management Interoperability Protocol (KMIP) standard.

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