Malik Haidar has spent years on the front lines of digital warfare, navigating the complex security landscapes of multinational corporations where a single slip-up can cost millions. As an expert who bridges the gap between raw technical intelligence and high-level business strategy, he has witnessed the evolution of cyber threats from clunky,
The unveiling of ExploitBench at the Infosecurity Europe 2026 conference has fundamentally redefined the landscape of cybersecurity by introducing a rigorous framework for evaluating the offensive capabilities of the most advanced artificial intelligence models currently in existence. This initiative, born from a strategic partnership between

AI is being adopted across enterprise infrastructure faster than most security programs can respond. The result is a recognizable pattern: pilots stall, leaders question control, and business value sits idle while compliance reviews drag on. What security teams need is a security architecture built on Zero Trust, where identity, authorization, and containment are enforced at every request, every

Attackers do not beat the best tools. They beat the gaps between them. The average enterprise is awash in agents, logs, and dashboards. Yet the first thing that fails in a real incident is not the firewall or the endpoint. It is awareness. If a system, identity, or connection is invisible, it is effectively unprotected. That is the security story that keeps repeating across cloud, SaaS, remote

The rapid proliferation of autonomous agentic frameworks has introduced a complex security landscape where minor oversights in state management can lead to catastrophic system compromises. Security researchers recently uncovered a significant vulnerability chain within the LangGraph library, a popular extension of the LangChain ecosystem designed for building complex, stateful multi-agent systems. This flaw allows malicious actors to achieve remote code execution by exploiting the way the framework handles serialized data and transition logic between
