Artificial intelligence has evolved from being a technical novelty into a powerful business tool with remarkable speed. Companies are embedding generative AI into customer service, software development, and finance operations to unlock efficiency gains and accelerate innovation. However, as adoption deepens, cyber security leaders are confronting a new reality: AI is not just enhancing productivity but also fundamentally reshaping cyber risk. Indeed, as AI becomes both a growth engine and a threat vector, the fundamentals of cyber security will become increasingly important. Cyber resilience will depend on embedding secure-by-design and Zero Trust principles across the enterprise.

The software development community is experiencing a near ubiquitous usage of AI coding tools as teams face pressure to generate more output in less time. While the huge efficiency gains from the tools help significantly, teams too often fail to incorporate adequate safety controls and practices into AI deployments. Industry leaders are pushing for comprehensive assessments that produce so‑called “trust scores”. These are composite metrics that integrate tool usage, vulnerability data and secure‑coding proficiency to quantify how products and teams influence software‑development lifecycle (SDLC) risk.

Identity has become the connective tissue of the modern enterprise, and the connective tissue of modern attacks. As digital environments grow more complex and AI-driven identities multiply, the cost of managing identity security in silos will only rise.

Introduction The headquarters of the scam economy have always been elusive, shifting between countries, towns and cities like a shadow. Western Africa, once heralded as a hotbed for digital fraud operations, has now been superseded by Southeast Asia, where hundreds of...