When It Comes to Risk, AI Is the New Cloud
Written by Matt Kunkel, CEO at LogicGate
Even as AI becomes a part of everyday life, most organizations are still determining how best to utilize it—and how to limit the risks it may pose. Interestingly, these challenges mirror another (relatively) recent innovation: the cloud. Before cloud computing became commonplace, businesses with any sort of digital footprint needed to buy rack space or manage their own on-premises servers. That was reasonable for businesses with a high degree of technical expertise, but building and maintaining a climate-controlled server room wasn’t realistic for most companies. The advent of cloud computing democratized access to advanced computing capabilities—and AI is already having a similar impact. As businesses wrestle with managing and securing their AI deployments, they can look to the cloud for lessons and guidance on how similar challenges were tackled in the recent past.
