Unraveling the threat of data poisoning to generative AI

I’m getting older myself when I talk about the old days of computing, when the cloud was known as utility computing and hosted services. From those early days, it took about a decade for the cloud to go from niche and novelty to the standard way of building and running applications. This shift has been monumental, not just for application creation, but for the way we design networks, connect users, and secure data.

We are now undergoing another fundamental change, but it will not be several years before it becomes the standard: the rise of generative AI tools. Businesses and mature economies have suffered a productivity plateau in recent years, and the potential for generative AI to break through and unleash a new wave of productivity is simply too attractive. As a result, generative AI will become an essential part of everyday work by 2024, just eighteen months after the first broad AI tools attracted massive attention.