The relentless evolution of digital threats has forced the cybersecurity industry to pivot from reactive patching toward comprehensive, long-horizon defensive operations that can span several days or even weeks of continuous investigation. While early iterations of artificial intelligence benchmarks were primarily concerned with solving isolated
In a digital landscape where personal information serves as the foundational currency for social media giants, the recent discovery of a critical vulnerability within Meta’s internal support infrastructure has reignited fierce debates regarding the efficacy of modern data protection protocols and the inherent risks of centralized user management. T

Security teams are evaluating agentic AI because security operations need faster triage, investigation, and response. The appeal is clear: AI agents can work across alerts and data sources at machine speed. However, speed alone does not guarantee better decisions. For defensive AI, context determines whether an agent understands what it is seeing, why it matters, and what action is appropriate.

Over the past years, the phishing playbook has been rewritten. In 2026, fraudulent emails don't arrive riddled with typos or bizarre requests from foreign royalty, which were easy to recognize. Nowadays, they land in inboxes looking polished, contextually relevant, and disturbingly well-informed. Cybercriminals now wield artificial intelligence, harvested corporate data, and sophisticated

Malik Haidar has spent his career at the high-stakes intersection of multinational cybersecurity and business strategy, developing a reputation for seeing the human stories behind the digital code. As an expert in analytics and threat intelligence, he has witnessed the evolution of cyber warfare from simple, predictable scripts to the complex, reasoning-based systems we see today. His approach is unique because he doesn't just look at the technical vulnerabilities; he integrates the broader business perspective, understanding that a security breach
