AI in Cybersecurity

The traditional digital perimeter has dissolved into a complex web of hyper-automated vulnerabilities where malicious software no longer waits for human commands to pivot through a corporate network. As 2026 progresses, the cybersecurity landscape is witnessing a radical transformation as

The rapid transformation of Large Language Models from static text prediction engines into autonomous agentic systems has effectively dismantled the traditional security perimeter, introducing a sophisticated spectrum of vulnerabilities that exploit the inherent trust between human users and their

Digital infrastructure across the globe currently faces a relentless barrage of sophisticated attacks that have transitioned from predictable patterns into a state of chaotic and rapid evolution. The National Cyber Security Centre recently highlighted that the frequency and complexity of these

The sudden acceleration of automated threat detection has reached a critical inflection point where the traditional methods of manual software auditing simply cannot keep pace with modern digital adversaries. As organizations grapple with this shift, Anthropic has moved to aggressively scale its

The velocity at which modern cyber adversaries navigate corporate infrastructures has reached a point where traditional human-led response cycles are no longer sufficient to prevent systemic compromise. In the current digital landscape, ransomware deployments and sophisticated phishing campaigns

Malik Haidar stands at the front lines of digital warfare, bringing a unique perspective that blends high-level threat analytics with the pragmatism of corporate business strategy. Having spent years shielding multinational infrastructures from sophisticated state-sponsored actors and profit-driven