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A framework for big data security
This article is part of the Information Security magazine issue of March 2012
Your organization likely is just starting to experience the joys of “big data.” Companies are enthralled with the idea of leveraging large quantities of data for targeted marketing or other initiatives. As with any new love affair, they’re blind to the flaws of their beloved. It is imperative, however, that you -- users of the data -- understand these massive data stores contain significant amounts of toxic data. Toxic data is any data that could be damaging to an organization if it leaves that organization's control. Typically, toxic data includes custodial data -- such as credit card numbers, personally identifiable information (PII) like Social Security numbers, and personal health information (PHI) -- and sensitive intellectual property, including business plans and product designs. Today, cyberthieves and nation-state agents are actively working to steal this toxic data. Inadequately secured and poorly controlled big data environments can potentially make it easier by reducing the number of places these thieves must ...
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Features in this issue
Learn about SIEM technology and how to unlock the opportunity for SIEM technology to be a powerful technique in the fight against cybercrime.
The attack on RSA shook the security industry to its core: A look at the breach’s far reaching impact.
There’s a lot of hype about next-generation firewalls. Here’s what you need to know.
Poorly configured remote administration tools are a common attack vector, security experts say.