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Threat Intelligence's Big Data Problem
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ACThomson
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ACThomson,
User Rank: Author
3/25/2016 | 9:20:15 AM
An opportunity for artificial intelligence
There are quite a number of startups appearing that are using artificial intelligence techniques to help manage this overload, allowing the most important threats to be prioratised.
ecrutchlow
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ecrutchlow,
User Rank: Apprentice
3/21/2016 | 12:38:59 PM
Target Example Completely Wrong
Your use of Target was completely wrong. This was Target's first excuse for why they didn't catch this early, but as the story evolved the true events came out resulting in the CIO and the CEO resigning.

The FireEye device did detect and alert the subcontractor team in India and FireEye saw the alert as well. The subcontractor team was contacted immediately by FireEye and informed of the significance of the breach. In turn, the subcontractor notified Target and they did not act on the information. For a good write-up on the events, please look up the SANS report titled, "Case Study: Critical Controls that Could Have Prevented Target Breach"

The article is correct regarding the amount of data organizations must review. It's really the story of the boy who cried wolf one too many times. Except we have systems that cry wolf thousands of times a day. Solutions that can reduce the noise is essential. Security operations centers should be focusing on real events and not on vetting false-positives.
MattDevost
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MattDevost,
User Rank: Apprentice
3/17/2016 | 4:27:59 PM
An evolution, hopefully based on the fundamentals of intelligence
Look forward to tracking this new series.  The evolution of threat intelligence is an important topic as organizations migrate towards intelligence driven security programs.  Hopefully you spend a little time looking at the fundamentals of the intelligence process and how they need to be incorporated and evolved into the cyber security domain.  

Having built intel organizations at companies like iDEFENSE, iSIGHT, the Terrorism Research Center, and within 56 U.S. cities, this is a topic that I track closely.  Many organizations don't give enough attention to how they need to consume and act on intelligence to drive decisions.  It isn't just about how many feeds you can consume, but how those feeds fit into and drive an internal intelligence process that is iterative and has a robust feedback loop.


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