“Before AI, somebody else was storing your data, and if they got infiltrated they were a honeypot,” said Grant Miller, CEO at Replicated. “Now the data is not only being stored, it is being learned from. So it becomes part of training sets.” Once that happens, reclaiming your advantage may be impossible.
Miller argues that the answer is to bring AI to the data rather than sending data out into the world. “By removing access from the vendor, instead of sending the data to thousands of different vendors, you bring the applications to where the data already resides,” he said. “You get a major advantage.”
From his vantage point, Miller sees enterprises moving toward a four-tier model that aligns deployment with data sensitivity. “Fully managed software for low risk use, VPC-based deployments for more control, self hosted environments for sensitive systems, and air gapped setups for the highest levels of sovereignty… That is the pattern we see enterprises follow,” Miller says. “It is about aligning architecture to data sensitivity, not convenience.”
