A big data intelligence solution can free up security teams to focus on generating the data security and compliance insights business stakeholders demand in nearly real time.
Under a strong data control framework, vendors provide exceptional analytics tools without requiring owners to relinquish total control of the data.
In the Industry 4.0 era, mainframe security is supported by four key areas: big data, analytics, human-machine interaction and cognitive computing.
Given the growing number of connected devices, organizations are beginning to leverage IoT data analytics to drive better decision-making.
Emerging technologies such as big data analytics, cognitive computing and the Internet of Things (IoT) are shaping the future of cybersecurity.
Big data solutions can aggregate, index and analyze many types of data to produce advanced business insights. This makes them juicy targets for fraudsters.
The adoption of Big Data Analytics is a rapidly growing trend in the marketplace. If you don’t get ahead of the curve, there’s the big potential for big problems – but if you do plan ahead, there are big opportunities to successfully...
IBM Security's Ben Wuest discusses how organizations can implement big data and analytics as part of their security intelligence solutions.
By getting ahead of the big data trend, you can become the power behind the throne and enable business success, all while keeping that data secure.
Log management for security-related purposes has become one of the biggest use cases for big data solutions, a survey by the SANS Institute shows.