Don’t let AI drive without a seatbelt

Fujitsu’s recent research across 1,750 European tech leaders delivers a clear message: cyber security isn’t a nice to have - it’s survival. It’s the number one investment priority in almost every country surveyed. Why? Because three out of four CIOs admit a cyber attack is now a matter of “when,” not “if.” And when you add AI into the mix, the attack vectors multiply faster than your inbox after a data breach.

Tony Mather, CIO at QinetiQ, summed it up perfectly:
“Investing in cyber is now a cost of doing business.”

Translation: leaving security as an afterthought is like leaving your front door open with a neon sign that says “Free data inside”.

Here’s the thing: AI doesn’t just inherit your existing risks - it creates new ones. Model poisoning, prompt injection, data leakage... these aren’t sci-fi plot twists; they’re real threats. Imagine your AI chatbot getting tricked into revealing sensitive financial data because someone crafted the right prompt. Or worse, imagine it generating malicious code because it misinterpreted that was “helpful”.

These risks scale dramatically as AI moves from simple FAQ chatbots to mission-critical systems. When you’re implementing a basic chatbot for FAQs, security is relatively straightforward. You lock down the data, set permissions, and call it a day. But when you start using AI to reshape modern supply chain risk management, that’s a whole new level of complexity. Take Panasonic Electric Works, for example: they partnered with Fujitsu to deploy an AI-powered platform that integrates data from over 3,000 sites and 20 legacy systems to optimize production, sales, and inventory planning. This isn’t just about answering questions - it’s about predicting disruptions, managing 200,000 parts in real time, and making corrective decisions during natural disasters. The stakes are higher, the data is richer, and the security requirements are non-negotiable. When AI becomes the backbone of global supply chains, governance and resilience are mission-critical.

Another trend is reshaping AI strategy: sovereignty.Fujitsu’s research shows 78% of organizations are shifting workloads to private cloud, and 83% are considering sovereign or domestic providers. Why? Because even if your data is stored in Europe, US laws like the Cloud Act can still apply if your provider is American.

Sharon Prior put it bluntly:
“What really matters is jurisdiction, not geography.”

So, if your AI is crunching sensitive data in a hyperscaler’s cloud, you’d better know whose laws apply. Fujitsu helps organizations navigate this minefield with hybrid cloud strategies and compliance frameworks that keep regulators happy and hackers frustrated.