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Myth-Busting Machine Learning In Security
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Kelly Jackson Higgins
Kelly Jackson Higgins,
User Rank: Strategist
7/28/2014 | 5:06:52 PM
Re: Machine Learning
Good point, @tgulati. It is definitely evolving, and I think this talk should help advance that. 
tgulati
tgulati,
User Rank: Apprentice
7/28/2014 | 4:25:36 PM
Re: Machine Learning
I would argue that multidimensional analytics achieved via some combination of machine learning and algorithms will advance the capabilities around threat detection. In my experience, the unidimensional rulesets written on single datasets or reliance on singular techniques tend to provide the most number of false positives. Some of the smartest security practitioners are able to apply their knowledge of their networks and cross dataset threat signatures to detect threats. The smarter technologies are the ones that can use similar analytics to get better results. I do believe this fied will continue to evolve and the serious security vendors will focus more on the solution than the unerlying big data technologies.
Marilyn Cohodas
Marilyn Cohodas,
User Rank: Strategist
7/28/2014 | 3:18:20 PM
Re: intereesting
With all the buzz about big data and how security teams can harness the technology to combat threats, this session will definitely be an eye-opener.  For background, check out this blog 6 Tips for Using Big Data to Hunt Cyberthreats, by Timber Wolfe,  Principal Security Engineer, at TrainAC

  
Kelly Jackson Higgins
Kelly Jackson Higgins,
User Rank: Strategist
7/28/2014 | 1:59:01 PM
intereesting
This should be a very revealing presentation. I would think quite a few enterprise folks would be interested in gaining some insight on machine learning differences, etc.


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