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...
Individuals see information differently today than they did just a few years ago because of big data and that, in turn, influences how people perceive privacy. ISACA's Jeff Spivey explains.
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.
Data from social media sites like Facebook, along with mobile device texts, will be analyzed by researchers in the aim of preventing suicide among U.S. Veterans. But how will privacy be protected?
How organizations view security is about to change, says Hugh Thompson of the security firm RSA. He explains why analytics will turn everything we thought we knew about security on its head.
RSA's Art Coviello finds today's cybersecurity strategies to be lacking. Global organizations must rely more on big data and public-private partnerships to defend themselves from advanced threats.
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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How can organizations use big data to forecast cyber-attacks and support forensics investigations? Michael Fowkes and Aaron Caldiero of Zions Bank provide insight.
Big data techniques are seen as increasingly valuable by organizations seeking to maximize their security intelligence.
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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.
The future of security lies in using data for behavioral analysis of both people and systems. How else do we determine what's normal from what's not? To do so, security teams must apply big data solutions and thinking to level the playing field between attacker and defender.
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The National Institutes of Health is tackling security challenges as it rolls out many "big data" research endeavors involving human genomes and other sensitive data. Research director Eric Green describes the issues.
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