Why authentication doesn't need to stay local: The new data residency pattern

Enterprise data residency has evolved from a simplistic model of data storage location to a more complex approach driven by the needs of modern SaaS and AI products, focusing on both data storage and processing. OpenAI exemplifies this shift by offering regional data residency and GPU inference options for Europe, while routing certain control-plane functions like authentication through the US. This trend reflects a broader industry move, as seen with companies like Slack and GitHub, toward a selective residency model that distinguishes between high-volume, sensitive customer content, which stays local, and low-volume control-plane operations that can be processed globally. The selective residency approach helps balance compliance with operational efficiency, addressing the challenges of full localization and global data processing. While this model satisfies most enterprise needs, some organizations with stringent regulatory requirements may still demand fully localized solutions. The evolving understanding of data residency prioritizes risk and volume over a one-size-fits-all strategy, allowing vendors to better meet customer expectations while minimizing operational complexity.