How Artificial Intelligence Is Creating Critical Vulnerabilities in Modern Cybersecurity

The new attack surface nobody planned for

It is the kind of headline that lands like cold water on a warm morning — not because the claim is dramatic, but because almost everyone in the room already suspected it.

Sitting with founders in the last few weeks, I have watched the question stop being hypothetical. A seed-stage CEO building with foundation models told me, half-joking, that his most consequential new hire this quarter was not another ML researcher but a security lead. The joke landed flat because everyone at the table had already lived through some version of the incident he was describing.

What changed, and what didn't

The FT's framing lands at a moment when the threat landscape has visibly tilted. Attackers now move at machine speed, probing APIs, generating convincing phishing lures, and chaining exploits with a fluency that used to require a coordinated team. Defenders, in many cases, are still stitching together tools and playbooks that predate the generative era.

That gap — between what AI lets bad actors do and what corporate security stacks were built to stop — is the hole the headline is naming. It is not a single product failure. It is a structural mismatch between an old perimeter mindset and a new kind of adversary, and the bill for ignoring it is starting to come due.

The scramble to staff up

Into that gap walks the training and certification crowd. As reported via Business Wire, Infosec Institute is convening security leaders this month at its AI Cyber Readiness Summit, with the explicit goal of helping organizations build AI-ready teams. The phrasing matters: not "AI-powered security" but "AI-ready people" — a quiet admission that the bottleneck is human, not technological.

For startups and the investors writing their checks, this is where capital is already shifting. Hiring a security engineer who can reason alongside models costs meaningfully more than it did two years ago. Retention is fragile. And the regulatory floor — whatever shape it ultimately takes — will reward the companies that can show, on a due diligence form, that they have a plan beyond buying another dashboard. Three things are worth watching as this story develops: whether the FT's reporting surfaces specific incident categories being hit hardest, how quickly AI-aware security talent becomes a measurable line item on cap tables, and the quiet emergence of "AI security" as its own funding category with seed checks already hunting for the picks and shovels of this new era. The honest takeaway is unglamorous: AI did not break cybersecurity. It exposed how thin the margins already were. The companies that treat this as a product problem — not a press release — will look very different twelve months from now.