Anton Chuvakin

A member of the Gartner Blog Network

Entries Categorized as 'big data'


Our “Security Information and Event Management Futures and Big Data Analytics for Security” Paper Publishes

by Anton Chuvakin  |  January 21, 2014  |  4 Comments

All that big data for security research I did last year has finally condensed into a published paper. Please enjoy “Security Information and Event Management Futures and Big Data Analytics for Security” that focuses on two things: outlining SIEM futures and analyzing the usage of big data technologies and approaches for security. The abstract states: [...]

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Big Data for Security Realities – Case 4: Big But Narrowly Used Data

by Anton Chuvakin  |  December 11, 2013  |  Comments Off

Part of my research this quarter focuses on assessing the reality of using big data approaches for security and providing practical, GTP-style recommendations for enterprises. So, what else is real in this technology segment heavily overrun by waves of bull? One more case that occasionally show up is “Big But Narrowly Used Data.” The scenario [...]

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Gartner Predicts 2014 Out – And One On Big Data!

by Anton Chuvakin  |  December 3, 2013  |  2 Comments

‘Tis that season … to predict. Gartner just released a set of security Predicts notes, specifically: Predicts 2014: Mobile Security Won’t Just Be About the Device with this fun quote: “Mobile security breaches are, and will continue to be, the result of misconfiguration and misuse on an application level, rather than the outcome of deeply [...]

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Big Data Analytics Mindset – What Is It?

by Anton Chuvakin  |  November 18, 2013  |  3 Comments

One common thread seen among those who actually do use big data tools and related analytic approaches for security is their analytic mindset. Not tools. Not algorithms. Not hoards of data scientists. Not methods, and not even specific approaches – but a mindset. How do we define this mindset and turn it into something teachable [...]

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Big Data for Security Realities – Case 3: Elastic Search or Similar

by Anton Chuvakin  |  November 6, 2013  |  1 Comment

Part of my research this quarter focuses on assessing the reality of using big data approaches for security and providing practical, GTP-style recommendations for enterprises. So, what else IS real in this segment overrun by waves of bull? One more case that occasionally (not as often as Case 1) shows up is “massive indexed pile.” [...]

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Big Data for Security Realities – Case 2 Variety Explosion

by Anton Chuvakin  |  October 17, 2013  |  Comments Off

Part of my research this quarter focuses on assessing the reality of using big data approaches for security and providing practical, GTP-style recommendations for enterprises. So, what else IS real? One more case that occasionally (not as often as Case 1) shows up is “data variety explosion.” Specifically, this scenario goes like this: The organization [...]

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Category: analytics big data security SIEM     Tags:

Big Data for Security Realities: Case 1: Too Much Volume To Store aka “Big Data Collection”

by Anton Chuvakin  |  October 10, 2013  |  6 Comments

If you fertilize the field of big data with enough marketing bullshit, something will grow. Well, keep waiting for it Use of “big data analytics” approaches for security seems like THE most “bullshit-rich” area of the entire infosec realm (beating such worthy contenders as APT, DLP, BYOD and, of course, “cyber”). However, there ARE definitely [...]

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Big Data Analytics for Security: Having a Goal + Exploring

by Anton Chuvakin  |  October 3, 2013  |  2 Comments

“There are two, seemingly conflicting, views on how to formulate a hypothesis for big data analysis: via data exploration or by having a goal. Exploration within the frame of having a goal is an expected work pattern with big data.” (source: “No Data Scientist Is an Island in the Ocean of Big Data”, another excellent [...]

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More On Big Data Security Analytics Readiness

by Anton Chuvakin  |  September 23, 2013  |  4 Comments

I was reading an excellent GTP piece on big data analytics called “Hadoop and MapReduce: Big Data Analytics” the other day. It is a very useful assessment of big data technologies and approaches. The author is not writing about the security use of Hadoop, but assesses how big data analytics differs from traditional data analysis [...]

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Broadening Big Data Definition Leads to Security Idiotics!

by Anton Chuvakin  |  September 18, 2013  |  10 Comments

One of the mysteries I am planning to explore in my research on using big data approaches for security is this: why so many surveys and media reports seem to show (no links here!) that 20%-40% of organizations utilize big data approaches for security today, while in reality this is not the case – by [...]

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