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The hidden vulnerability behind the UAE’s AI acceleration

by CXO Staff
February 23, 2026
in Opinions

Gregg Petersen, Regional Director Middle East, Cohesity, explores why the next phase of AI innovation will be defined not just by advanced models, but by secure, resilient, and well-governed data foundations that organisations can trust at scale

The hidden vulnerability behind the UAE’s AI acceleration

Artificial Intelligence is reshaping economies at a velocity we have never seen before. In the Middle East, where nations are accelerating national AI strategies and building digital-first industries, one principle has become universally clear. Without trusted, secure, and resilient data, there can be no intelligent enterprise and no sustainable AI transformation.

In today’s world, trust rooted in security, governance, and resilience is not optional. It is the foundation that determines whether AI becomes a catalyst for progress or a source of systemic risk.

Gregg Petersen, Regional Director Middle East, Cohesity

Trusted data: The centre of intelligent decision-making

Across the UAE, every leader I speak with is pursuing deeper, faster insight. Yet many organisations still grapple with fragmented, unprotected, or unverified datasets. AI trained on untrusted data doesn’t accelerate innovation; it accelerates mistakes. Running a business without clean, contextual, and secure data is like flying an aircraft with blurred instruments.

What inspires me about the UAE is the clarity of purpose. Government entities, financial institutions, energy operators, aviation leaders, and national infrastructure providers are not asking how to experiment with AI. They are asking how to deploy it safely, at scale, and with confidence that every insight is grounded in trustworthy data. This is why the UAE is increasingly seen as a global benchmark for responsible, secure AI adoption.

Where AI, security, and infrastructure converge

The next era of digital transformation will be shaped by the fusion of AI and cyber resilience. Historically, data protection was treated as an operational necessity. Today, it is a strategic differentiator. The strongest AI capabilities will emerge from organisations that train and run models on data that is protected, governed, and continuously verified.

Leaders in the UAE tell me that cyber resilience is now as mission-critical as system uptime. From digital government services and healthcare platforms to banking, logistics, and energy operations, the nation’s digital backbone depends on the assurance that data is both secure and recoverable. This level of rigor and operational discipline is rare globally, yet increasingly standard across the UAE.

Resilience: The advantage every organisation needs

No organisation can expect perfect protection. Systems will be targeted, failures will occur, and threats will continue to evolve. What sets resilient organisations apart is confidence — confidence that they can detect issues early, recover fast, and restore trusted operations without hesitation.

The strongest enterprises I’ve seen are those that treat resilience as a daily discipline. They maintain clean, verified data copies, rigorously test recovery playbooks, and embed resilience directly into infrastructure design. A “three-copy mindset” has become essential: an operational copy, a recovery copy, and a cyber-vaulted, air-gapped copy that remains immutable and inaccessible to attackers.

This architecture is now being adopted by the region’s most strategic sectors, including aviation, banking, energy, and national services, because recovery is what keeps a country running when disruption hits.

Preparing data for the AI frontier

Once data is secure, the true value of AI emerges. Generative AI represents one of the largest shifts in human–machine interaction since the dawn of the internet. But AI is only as good as the data it can safely access.

Technologies such as retrieval-augmented generation (RAG) are enabling organisations to interrogate vast archives of corporate data in seconds. But doing so safely requires governance frameworks that match the region’s ambitions: role-based access, auditability, sovereignty controls, and ethical guardrails. These principles align deeply with the UAE’s national approach to responsible AI innovation.

A regional ecosystem built for trusted intelligence

The Middle East is entering a new era shaped by strategic national investments in AI infrastructure, sovereign cloud capabilities, and locally trained models. The UAE’s coordinated, ecosystem-led approach, bringing together global cloud leaders, AI pioneers such as NVIDIA, and innovative national platforms, creates an environment where trusted intelligence can flourish.

The organisations that will lead this next decade are those that treat data not as a technical asset but as a living source of resilience, insight, and competitive advantage.

From insight to foresight

Leadership in the AI era will not be defined by the volume of data collected, but by the quality of intelligence derived from trusted, secured, and resilient information. The future belongs to enterprises that pair the speed of AI with the integrity of verifiable data.

As we enter this new frontier, my advice is simple:

  • Build trust before transformation.
  • Build resilience before intelligence.

Tags: AICohesityGregg Petersen
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