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.
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...
Evolving AI will drive improved security intelligence analytics, while opening up more opportunities for cybercriminals. What happens when AI plays both sides?
Security analysts need access to deep network insights in the form of user behavior analytics to unlock the full potential of technologies such as artificial intelligence and machine learning.
An automated security analytics platform can help understaffed security teams sift through threat data more efficiently and focus on more critical tasks.
In the Industry 4.0 era, mainframe security is supported by four key areas: big data, analytics, human-machine interaction and cognitive computing.
To deliver the level of personalization today's prosumers demand, utilities must support their energy security strategies with predictive analytics.
Given the growing number of connected devices, organizations are beginning to leverage IoT data analytics to drive better decision-making.
User entity behavioral analysis (UEBA) can provide analysts with actionable insights and early warnings of threats, much like a canary in a coal mine.
Intelligent Code Analytics: Increasing Application Security Testing Coverage With Cognitive Computing
With intelligent code analytics, developers can use machine learning to mark up APIs and bring application security testing to the next level.