Fortanix Confidential AI for Sovereign AI 

Critical infrastructure providers and enterprises, who are building national AI capability, face a hard constraint: they cannot cede control of citizen data or AI IP to foreign providers, jurisdictions, or administrators, yet few nations can afford to build and operate their own AI infrastructure outright. Staying competitive often means running frontier models on a foreign provider's cloud, but running sensitive AI workloads on shared or foreign-operated infrastructure with traditional architecture gives administrators complete visibility into data during processing. For sovereign AI initiatives, that exposure isn't just a security gap; it's a breach of sovereignty itself. The reverse is also true: as nations look to deploy frontier AI within geo boundaries, they run into the hesitation of AI labs that don't want their own model weights sitting unencrypted in memory during training and inference, vulnerable to extraction. Sovereignty and innovation have historically pulled in opposite directions, but falling behind on AI adoption isn't an option — economically or for national security. The way forward is Confidential AI that runs on Confidential Computing infrastructure that protects data and AI models while in use.

Sovereign AI, Without Compromise

Fortanix Confidential AI ensures sovereign AI wherever your AI runs. Whether your workloads run within your borders or you need to tap into best-in-class performance and economics elsewhere, Fortanix gives you verified, cryptographic control over your AI by keeping citizen and national sensitive data  protected on trusted, attested infrastructure, with no third-party access and no compromise on sovereignty. Think of it as a digital embassy for AI: your data and models stay off-limits to everyone, but you, backed by hardware-enforced Trusted Execution Environments (TEEs) rather than policy promises. With Fortanix Confidential AI, national AI offices, sovereign cloud operators, telecommunications providers building AI infrastructure, and public-sector or defense agencies can deploy frontier AI on their own terms by keeping data, models, and infrastructure under their control and jurisdiction.