To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, AI-aware access governance.

For years, the cybersecurity market relied on tools built for a world where data mostly sat still—neatly stored in databases and scanned intermittently like a photograph capturing a moment in time.

Future-proof data centers have gone from optional to foundational. As workloads expand beyond the limits of legacy facilities, enterprises need infrastructure that can support unprecedented power and ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

Biotech data visualization is often static and fragmented, limiting the ability to see integrated patient journeys and ...

The modern digital landscape is built on data, but not the way it once was. Gone are the days when businesses simply stored and analyzed static datasets to make decisions. Today, artificial ...

As data becomes the lifeblood of modern enterprises, the expectations placed on data platforms are evolving at an unprecedented pace. No longer confined to powering dashboards or historical reports, ...

SpyCloud, the leader in identity threat protection, today announced the launch of its Supply Chain Threat Protection solution, an advanced layer of defense that expands identity threat protection ...

Introduction Every warfighting function depends on logistics, but sustainment has always faced a time-distance problem.

Gilad makes the case that static, that staple of C++, C#/VB.NET, and Java, does not belong: Most imperative languages have some notion of static variable. This is unfortunate, since static variables ...