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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Big data techniques are seen as increasingly valuable by organizations seeking to maximize their security intelligence.
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Organizations scramble to leverage big data to gain business insight for more accurate & efficient marketing, sales, operational activities and more. But many also now apply these tools to discover anomalous behavior and expose fraudulent activity. Join our expert panel from Zions Bancorp and LexisNexis for new...
This white paper provides a cutting-edge view on why large organizations can no longer rely on preventive security systems, point-security tools, manual processes and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous...
Today's spear-phishing campaigns are localized, small and can slip through typical spam filters. As a result, detection practices have to evolve, says researcher Gary Warner of the University of Alabama at Birmingham.