The AI Security Trap: Cheap Attacks, Pricey Defences
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The AI Security Trap: Cheap Attacks, Pricey Defences

Cybersecurity has always favoured the attacker, but AI is widening that advantage. By compressing complex operations into automated decision loops, autonomous agents let a small human team delegate the bulk of an attack's tactical work, reconnaissance, exploitation, lateral movement, to machine tempo, in at least one documented case shifting 80–90% of that labour onto the AI itself. That doesn’t make attacks free, but it does mean cost scales far more slowly with the number of targets than it used to. Enterprises, meanwhile, face the opposite trend: breach costs are climbing, and a new governance-driven Shadow AI tax is compounding them. As automation lowers the labour cost of offense while recovery expenses and regulatory demands rise on defence, the balance of cybersecurity economics is being forced to overhaul itself.