For CIOs across the Gulf, the cloud conversation has moved past basic adoption. Governments and enterprises are investing heavily in cloud platforms, artificial intelligence (AI), and national digital infrastructure. However, the harder questions now sit with those accountable for keeping critical services running:
- Who controls the environment?
- How resilient is the operating model when conditions change?
- Can the organisation still choose where work gets done tomorrow?
Digital sovereignty is no longer defined solely by where data resides. It also depends on who operates the environment, whether the technology can run independently, and whether its controls can be audited and verified. Together, data, operational technology and sovereignty create business resilience and the freedom to change direction without rebuilding the stack every time regulation, risk, or economics shift.
Sovereignty starts with the questions CIOs actually ask
In my conversations with IT leaders across Saudi Arabia, the UAE, and the wider GCC, four practical questions consistently arise:
Classification: Which workloads and data may run where, under which regulator, and with what evidence?
Operational sovereignty: Who administers the platform, who holds encryption keys, who can access logs, and under which jurisdiction does incident response operate?
Technology sovereignty and reversibility: Can the organisation continue operating the platform without dependence on a single provider or external control plane, apply different controls without rebuilding the stack in every country, and move workloads if regulation or economics change?
AI sovereignty: Where are models trained and operated, who controls data and compute, and can AI services be consumed with jurisdictional control over inference, model access, governance, and auditability?
These questions determine some of the outcomes the customer needs, whether a bank can keep services available 24x7, whether a public-sector agency can protect classified workloads, and whether a regulated enterprise can adopt global cloud and AI without surrendering control of its digital future.
Business resilience is the other half of control
True resilience is more than uptime. For CIOs, it means continuing to deliver customer and citizen services when something material changes: a new compliance requirement, concentration risk in the virtual estate, a shift in cost predictability, or the need to run workloads in a sovereign, private, or disconnected environment.
That is why workload portability and reversibility have become board-level concerns. Organisations need the option to run and shift critical workloads across public cloud, sovereign cloud, private infrastructure, and air-gapped sites—without fragmenting operations or locking into a single path. Resilience is also an exit strategy: the ability to adapt without starting over.
An open hybrid cloud approach gives CIOs a consistent foundation for that flexibility. Open source contributes transparency and auditability, but alone it does not make an environment sovereign. Sovereignty also depends on local key custody, controlled privileged access, a governed software supply chain, approved updates, identity and logging controls, tested incident response, and accountable local operations. The strongest model is not isolation. It is a trusted interdependence: global innovation with local accountability and practical control.
No single vendor delivers sovereign outcomes
Sovereign cloud and sovereign AI cannot be delivered by any one provider. CIOs get control through a division of strengths: hyperscalers for global scale and advanced services; sovereign operators for local infrastructure and jurisdictional control; regional partners for sector expertise, integration, managed operations, and, where required, cleared personnel. An open technology foundation provides consistency so customers are not forced to choose between local compliance and global innovation.
Saudi Arabia illustrates the scale of this shift. Vision 2030, national AI investment, and continued investment in local cloud capacity by global providers are strengthening the foundations for what enterprises can build locally.
The UAE shows how execution is taking shape through sovereign operators, financial sector modernisation, and partner-led delivery. While regulation and operating models differ by market, the shared CIO challenge remains the same: how to adopt cloud and AI at pace while retaining national and operational control.
What this looks like in practice
Emirates NBD, named the 2026 Red Hat Innovator of the Year, shows what progressive modernisation looks like for a regulated enterprise. The bank now operates around 9,000 virtual machines (VMs) on Red Hat OpenShift Virtualization alongside container workloads on a unified application platform. For a CIO, the outcome is reduced platform fragmentation, clearer operational control, and a path to modernise at the organisation’s own pace while supporting continuous customer service.
Red Hat and Core42 are building sovereign cloud and AI environments with resilience and long-term control engineered into the foundations. This matters most for highly regulated organisations, which need the full range of deployment options, from connected through restricted to fully air-gapped.
Additionally, Moro Hub’s GPU as a Service (GPUaaS) and AI Platform as a Service (AI PaaS) offerings showcase the delivery of sovereign AI infrastructure through a secure, locally governed service model.
Regional partners such as ZainTECH and MDS CS extend this model through multi-country modernisation, managed services, and compliance-sensitive local delivery, often making the difference between an architecture on a slide and a platform operated in the country.
Capability is part of resilience
Technology choices only hold if local teams can actually operate them. Partners must build true delivery capacity, not just collect certifications, so they can independently design, run, and scale these platforms. This is where ecosystem value compounds: skills gained from one project turn into reusable capabilities, and local partners evolve from simply installing software to creating unique business value and managed services. This expansion connects partner capability directly to regional economic value and long-term resilience.
The takeaway for CIOs
For CIOs, the conclusion is clear. The ecosystem is the delivery model for sovereignty and resilience. Sovereign cloud and sovereign AI are not delivered by a single vendor; they come together through hyperscalers, sovereign operators, local partners, and an open foundation that preserves choice. This model also enables the region to build the skills, services, and intellectual property needed to create and export sovereign cloud and AI capability.
The principle is simple: Open source provides the foundation. Partners create the scale. Customer control is the outcome.
About the author
Burak Borhan is Regional Director of Ecosystems for the Middle East and Africa at Red Hat, where he leads the company’s partner ecosystem strategy across the region and is a member of Red Hat’s EMEA Ecosystem Leadership Team. Over more than two decades in the global technology industry, he has held senior leadership roles at Red Hat, SAP and HP, building and scaling ecosystems, opening new markets, developing high performing teams and shaping growth strategies across the Middle East, Africa, the Mediterranean and Türkiye. His thought leadership examines the strategic role of ecosystems and open collaboration in accelerating enterprise transformation, expanding market opportunity and creating sustainable competitive advantage. Burak holds an Executive MBA from Koç University and a postgraduate diploma in Strategy and Innovation from Saïd Business School, University of Oxford.
More like this
Securing AI agents requires securing the systems around them
Why Red Hat is building secure agent onboarding
How Red Hat cleared IT debt for scalable AI
Standardizing the AI stack with PyTorch
Browse by channel
Automation
The latest on IT automation for tech, teams, and environments
Artificial intelligence
Updates on the platforms that free customers to run AI workloads anywhere
Open hybrid cloud
Explore how we build a more flexible future with hybrid cloud
Security
The latest on how we reduce risks across environments and technologies
Edge computing
Updates on the platforms that simplify operations at the edge
Infrastructure
The latest on the world’s leading enterprise Linux platform
Applications
Inside our solutions to the toughest application challenges
Virtualization
The future of enterprise virtualization for your workloads on-premise or across clouds