Secure Apps

Article Published - Mobile Europe

In the article, I talk about how AI is already part of our daily lives, so the real challenge now isn’t getting it to work, it’s making sure people can trust it. For me, that starts with security. If AI is helping us build software or is part of a product, we have to assume things can go wrong and design with that in mind from the beginning.

I also explain why it is important to look at the whole lifecycle, from choosing and preparing data to testing models in every possible way and keeping a close eye on them once they are running in production. Every step matters if we want AI systems to be reliable.

But it’s not just about security. I believe ethics and transparency are key too. People should understand how an AI system works, what its limitations are, and why it behaves the way it does. Regulations help, but they are only part of the solution.

In the end, my message is simple: responsible AI isn’t about slowing innovation, it is about building things in a way that lasts. If we stay humble, communicate clearly and keep humans at the centre, we can create AI that people truly trust.

Also published - Celfocus