AI is changing the offensive security landscape faster than it is changing enterprise defensive capabilities. The detection strategies most vulnerable, and the investments most worth making, deserve more attention than they are getting.
Cloud security consolidation decisions stall because they are framed as technology decisions rather than business decisions. This is the five-component financial model that closes the gap between the CISO’s case and the CFO’s approval.
AI-assisted development tools are accelerating code production in ways that create a new application security challenge: the attack surface is growing faster than security testing can cover it.
NIS2 significantly expands the scope, obligations, and enforcement regime of European cybersecurity regulation. This is the strategic assessment that enterprise technology leaders need to begin their compliance planning.
KubeCon Amsterdam 2023 produced signals about enterprise cloud-native adoption that deserve more attention than the typical conference summary provides. Three themes matter most for enterprise architecture decisions in 2023 and beyond.
GPT-4 represents a step change in large language model capability that materially changes the enterprise AI investment calculus. The quality of reasoning, the multimodal input handling, and performance on professional knowledge tasks all move AI from a productivity experiment to a strategic capability question.
The cloud shared responsibility model is well understood in principle and consistently misapplied in practice. Enterprises routinely discover — typically during a security incident — that they assumed responsibility for controls they believed the cloud provider owned.
Two years after the Cloud Operating Model for Dummies framework, the enterprise patterns are clear. The organisations that invested in operating model design before architecture decisions are ahead. The ones that skipped it are managing expensive complexity.
The average large enterprise runs 30–45 security tools. The total cost of ownership — licences, integration effort, analyst time, and the security gaps created by alert fatigue — is rarely quantified but consistently exceeds the cost of a consolidated alternative.
Cloud-Native Application Protection Platforms represent the maturation of cloud security architecture: a move from separate tools addressing separate attack surfaces to an integrated platform covering code, build, runtime, and infrastructure in a unified security posture.