In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to process data for security analysis.

Big Data and Big Data analytics have become hot topics in recent years. Unlike traditional methods of cause and effect deduction, Big Data analytics generate predictions based on such enormous ...

IBM joins RSA in merging log management and network analysis with the Hadoop software framework for deep data analysis. But some experts see challenges ahead.

Hopefully, this will help security professionals move beyond the hype and start to understand how big data security analytics can deliver real value.

Steve Durbin helps CEOs make sense of the Big Data challenge The layered effect of security The promise of actionable insight from data isn’t new – business intelligence and other analysis ...

Big data is big news, but have you considered big data security? Big data is built on analysis of data that is usually correlated from multiple sources.

The concept of Big Data Security presumes that artful analysis of massive amounts of data content, in addition to the traditional security-related event information that’s collected through a ...

Before releasing a big data analysis, a company needs to perform a legal risk analysis of the information, players, and issues involved.

What does it mean to do “big data” in 2019 and just what is "big data?" There are no easy answers, but as we increasingly tout everything and anything as “big data” it is worth stepping ...

Asymmetric big data security solutions will be anchored by machine learning algorithms, cluster analysis, and advanced visualization.