Many enterprises are moving quickly to adopt "big data analytics" - specifically, the application of advances in analytics techniques to the rapidly-expanding pool of information that enterprises have at their disposal to enable better decision making.
As this trend of adoption continues, information security, risk...
In a speech revealing new limits on the way intelligence agencies collect telephone metadata, President Obama also announced a comprehensive review of how government and business are confronting the challenges inherent in big data.
Big data is a hot item on every banking institution's security agenda, says Gartner analyst Avivah Litan. Here she explains why mid-sized institutions are in the best position to implement new technology.
Security teams struggling to detect signs of threats hidden in mountains of data are attracted to big data analytics. But experts advise security professionals to take an incremental approach, starting out with smaller projects.
Too many organizations are spending far too much money on gathering big data that they cannot put to good use, such as for fraud prevention, says IDC analyst Jerry Silva, who stresses that investments must have strategic value.
When dealing with "Big Data," the volume and types of data about IT and the business are too great to process in an ad hoc manner. Moreover, it has become increasingly difficult to secure meaningful information from the data being collected.
Despite significant investment in information security, attackers appear...
Organizations still have concerns about sharing too much data and threat intelligence to help thwart attacks. But EMC's Kathleen Moriarty says organizations' fears about intellectual property compromises are overblown.
Combating identity-based fraud on the scale of millions of applicants is challenging, but federal and state agencies must do it regularly.
The key to success: A multi-phase approach is best - one that encompasses identity verification and big data for fraud mitigation.
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