- The United Arab Emirates has launched a new national artificial intelligence platform
- It aims to strengthen its cyber resilience and protect sensitive state data
- The platform came from a partnership between the UAE Cyber Security Council, e& UAE and Open Innovation AI
The United Arab Emirates has launched a new national artificial intelligence platform to strengthen its cyber resilience and protect sensitive state data as governments worldwide race to secure critical digital infrastructure.
Announced during the ISNR 2026 security exhibition in Abu Dhabi, the UAE Sovereign AI Platform has been developed through a partnership between the UAE Cyber Security Council, e& UAE and Open Innovation AI.
The system is intended to allow government agencies and strategic industries to operate advanced AI systems entirely within nationally controlled infrastructure, reducing reliance on foreign cloud providers and overseas data centres.
Officials involved in the project said the platform was designed for environments where security, operational isolation and data sovereignty are considered essential.
These include national security operations, emergency response systems, critical infrastructure and classified government networks.
The platform enables organisations to deploy generative AI tools, large language models and autonomous digital workflows inside protected domestic systems.
Developers say the infrastructure can also support advanced analytics and AI agents without transferring sensitive information outside the country.
Central to the project is a new Sovereign AI Security Framework intended to oversee how AI models are tested, approved and monitored before being introduced into sensitive operational settings.
The framework includes measures covering cyber resilience, model governance, secure AI operations and the handling of classified workloads. It is also designed to support so-called ‘air-gapped’ environments, where systems remain physically isolated from external internet networks to minimise the risk of cyber intrusion.
