We can probably all agree that securing the devices on our networks is a fair definition of endpoint security. But within this traditional definition, what, really, is the endpoint of today?
Armed with security analytics tools, organizations can benefit from big data capabilities to analyze data and enhance detection with proactive alerts about potential malicious activity.
The traditional mission of security is evolving under the influence of several key trends regarding the functions, staffing, processes and core capabilities of the security operations center.
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.
Today, IBM announced IBM Security Guardium Big Data Intelligence, a solution that provides the power and capacity of a big data platform while also meeting data security requirements. Expanding data volumes and longer compliance data retention...
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.
IBM Security Guardium Certifies New Big Data Security Capabilities on Cloudera and Hortonworks Platforms
IBM Security Guardium took an even deeper dive into big data security by completing its official certification for Cloudera and Hortonworks platforms.