IBM Addresses Security Challenges of Big Data, Mobile, and Cloud Computing

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In a move designed to reduce the biggest security inhibitors that organizations face in implementing cloud, mobile and big data initiatives, IBM announced a broad set of security software to help holistically secure data and identities.

 

IBM’s new software capabilities help clients better maintain security control over mobile devices, mitigate internal and external threats, reduce security risks in cloud environments, extend database security to gain real-time insights into big data environments such as Hadoop, and automate compliance and data security management. Along with IBM Security Services and IBM’s world-class research capabilities, this set of scalable capabilities supports a holistic, proactive approach to security threats spanning people, data, applications and infrastructure.

 

“A major shift is taking place in how organizations protect data,” said Brendan Hannigan, General Manager, IBM Security Systems. “Today, data resides everywhere—mobile devices, in the cloud, on social media platforms. This is creating massive amounts of data, forcing organizations to move beyond a traditional siloed perimeter to a multi-perimeter approach in which security intelligence is applied closer to the target.”

 

According to the 2012 IBM Global Reputational Risk and IT Survey, global senior executives identified IT risks -- ranging from data thieves to the use of emerging technologies including cloud, mobile and social media -- as a major cause of concern.

 

Today, in the biggest announcement since the launch of IBM’s new Security Systems division earlier this year, IBM is unveiling ten new products and enhancements to help organizations deliver real time security for big data, mobile and cloud computing.

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. 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.

 

To learn more about the data security portfolio, visit http://www.ibm.com/security/data/products.html

 

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