How the Landscape of Security Analytics is Changing

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    Henry Brown
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    From Dark Reading:

    The Cloud Security Alliance (CSA) Big Data Working Group today announced the release of Big Data Analytics for Security Intelligence. The new research report details how the landscape of security analytics is changing with the introduction and widespread use of new tools and opportunities for leveraging large quantities of structured and unstructured data. The initial report also outlines some of the fundamental differences from traditional analytics and highlights possible research directions in Big Data security.

    “The goal of Big Data analytics for security is to obtain actionable intelligence in real time,” said Alvaro Cardenas, industry expert and lead author of the report “Although Big Data analytics holds significant promise, there are a number of challenges that must be overcome to realize its true potential. We have only just begun, but are anxious to move forward in helping the industry understand its potential with new research directions in Big Data security.”

    In addition to looking at the differences between traditional analytics and Big Data analytics, the report also discusses the impact of Big Data analytics on security, includes examples of Big Data usage in security contexts (network security, advanced persistent threats, enterprise event analytics and netflow monitoring to identify botnets), outlines a platform for experimentation on anti-virus telemetry data, and proposes a series of open questions about the role of Big Data in security analytics.

    Download Report:

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