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 ...

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

Given the pace at which big data software is released, coupled with the sheer volume of data under management, the big data market is ripe for massive security breaches. It’s only a matter of time.

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.

The first challenges for big data were managing volume and assuring constant access. Now protecting data from intrusion and corruption, and maintaining secure access, are top priorities for tech ...

You need human judgment to really apply big data to security questions.

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 ...

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.

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

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