Gone are the days of one-size-fits-all. Today, everything is about tailor-made and customization. This includes cybersecurity threats.
In the last few years, security has become increasingly more challenging. According to recent Enterprise Strategy Group (ESG) research, “62% of IT security professionals say that security management is somewhat more difficult or significantly more difficult than it was two years ago. ” This is because threats have become more sophisticated and more targeted.
But we don’t know what we don’t know, so how can we locate and expose these needles of unknown threats in the haystack of massive enterprise data? Through the use of Big Data security analytics.
In the recent ESG Brief EnCase Analytics: Big Data Security Analytics Meets Endpoint Visibility, Jon Oltsik, Senior Principal Analyst for ESG, talks about the new reality of security information, which is that guarding enterprise data has become increasingly challenging due to the sophistication of the threats, security staffing shortage, and incident-detection challenges.
Jon then applied his expertise in Big Data and experiences in security to lay out the Big Data security analytics continuum, in which corporations tend to land on the spectrum based on two extremes: real-time vs. asymmetric Big Data security analytics. He also discusses the four pointers in getting Big Data security analytics right, and described how EnCase Analytics —a turn-key solution— is a happy medium in the Big Data security analytics continuum.
To find out how to derive security intelligence through the use of Big Data security analytics, download Enterprise Strategy Group Brief: EnCase Analytics: Big Data Security Analytics Meets Endpoint Visibility from our publication library.
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