Editorial

AI-driven security tools bring speed and scale by scanning logs, hunting threats, and automating patches—but they also redefine where and how failures happen. If an AI model misses a zero-day or wrongly flags legitimate traffic, the error can ripple across the enterprise at machine speed. When

People often talk about access as the ultimate enabler. The modern enterprise prides itself on openness—shared credentials, seamless collaboration, federated identities, and zero-trust access frameworks designed to keep things fluid. But in the race to democratize access, you’ve lost sight of

Today, organizations are exposed to an increasing rate of cybersecurity attacks, intricate infiltration efforts designed by criminal networks, and militant activities by state-sponsored threat agents. However, it is not the time to be reactive. Instead, companies should tighten their cybersecurity

AI-driven cybersecurity is the new frontline. As threat vectors diversify and digital estates balloon in complexity, security leaders are being asked to do the impossible: respond faster, scale broader, and predict threats before they happen. And automation, powered by artificial intelligence,

When cybersecurity is discussed, people often picture nation-state attackers, malicious insiders, or zero-day vulnerabilities. But sometimes, the biggest risk walks right out the front door. Amid economic uncertainty and waves of corporate restructuring, layoffs have become a recurring headline

Industrial security is categorized by a complicated combination of threats and defense measures. One such example of an industrial defense measure is operational technology (OT). As a critical part of operations, it is positioned to directly control and monitor the industrial environment. With