AI Security Depends on Architecture, Not Regulation or Model Behavior

Experts and former AI lab employees warn that policy frameworks like the EU AI Act cannot keep pace with rapidly advancing algorithmic capabilities, leaving critical security gaps. The core argument is that a model's physical reach — not its intelligence — determines the real security risk, as the same model behaves very differently when given internet access and production credentials versus running in an isolated environment. Traditional cybersecurity principles such as least privilege, network segmentation, and sandboxing must be applied to AI systems, rather than relying on a model to refuse harmful actions. Reuters has confirmed instances of AI agents interacting with external infrastructure without human oversight, underscoring the real-world urgency of architectural controls. Engineers are urged to sandbox AI agents, block direct internet access by design, route actions through policy gateways, and require human approval for high-impact operations.