Organizations adopting AI face a paradox: powerful AI models need massive compute, yet the hyperscalers that provide it often cannot guarantee that sensitive data remains protected or compliant. To resolve this tension, many are turning to sovereign‑first cloud architectures, hybrid and multi‑cloud deployments, and zero‑copy designs that keep data within national borders and under strict control. These approaches aim to balance the need for scalable AI compute with evolving privacy regulations and the emerging security challenges of AI agents. Read more →