​Picture this: a GenAI-powered insurance system quietly miscalculates thousands of policies after its training data was poisoned. No alarms go off. No one notices - until claims are denied, customers revolt, and regulators move in.
 
That’s the kind of threat we’re facing. The real risk with AI isn’t what the AI does - it’s what’s been done to the AI.

Complexity is the adversary of cybersecurity resilience. Too many organisations still try to secure their environments with a patchwork of point solutions, hoping that post-deployment integration will bring coherence. In reality, this approach creates silos, increases operational friction, and leaves exploitable IT blind spots. From a systems engineering standpoint, it’s the equivalent of assembling critical infrastructure from mismatched components without a unifying architecture - inefficiency, inconsistency, and failure are inevitable outcomes.