A crisis is unfolding across enterprise cloud environments—one that’s easily overlooked but becoming impossible to ignore. As organizations rush to embrace AI and next-generation digital infrastructure, a dangerous blind spot has emerged: the unseen, unprotected, and autonomous communication between cloud workloads. In this new era of agentic and generative AI, where autonomous

For years, enterprise security has been built around two main pillars: prevention and detection. Firewalls, endpoint protection, and intrusion detection systems all aim to stop attackers before they do damage. But as threats grow more sophisticated, it’s clear that this isn’t enough. “Cloud insecurity is inevitable,” says Kavitha Mariappan, chief transformation

AI has transitioned from experimental to mainstream. Its ability to process and act on vast data at speed enables both unparalleled protection and unprecedented threats. Yet, tackling these risks hinges not only on technology but on people. And today’s cybersecurity talent shortage critically undermines our capacity to adapt. 1. AI

AI is exceedingly good. But the push for greater speed and efficiency clashes directly with the novel security risks that AI itself introduces into the development lifecycle. As cybersecurity teams use AI to harden defenses, hackers are using it to their advantage. Sophisticated phishing campaigns and adaptive malware are increasingly active

The cybersecurity landscape is undergoing a fundamental transformation as artificial intelligence emerges as both the ultimate weapon and the essential shield in digital warfare. Organisations worldwide find themselves caught in an escalating arms race where the same technology that promises to revolutionise cyber defense is simultaneously empowering attackers with unprecedented