The pace of artificial intelligence adoption across the UAE tells an encouraging story. AI is no longer confined to experimentation. It is becoming part of how organizations engage customers, manage operations, secure IT environments, and run supply chains. More than half of the enterprises surveyed by IDC already have AI agents deployed or in active development.
The opportunity is clear. But as AI moves deeper into the enterprise, the measure of progress must evolve. The question is no longer simply how quickly organizations can adopt AI, but whether they can govern, secure, and scale it with confidence.
The findings in Securing AI in the UAE Enterprise, an IDC study sponsored by CPX and Microsoft, illustrate this challenge. While 80% of CIOs surveyed are confident their AI investments will deliver intended outcomes within two years, 58% of organizations have not formally validated the business case for most of those investments. Meanwhile, 98% of security teams have encountered at least one real AI-related security risk in their environments.
Together, these findings reveal a defining challenge for enterprise AI in the UAE: ambition is advancing faster than readiness.
For me, this is not a reason to slow down. It is a reason to make readiness part of the ambition.
Bring security into AI decisions from the start
AI investments are driven by business priorities, from improving productivity and accelerating decisions to enhancing customer experiences and creating new services. Security therefore needs to be part of these decisions from the outset, alongside business, technology, legal, and risk considerations.
The research shows where the opportunity lies. Only 15% of surveyed enterprises give the CISO mandatory approval authority over AI deployments, while just 10% define security requirements before evaluating an AI solution.
The issue is not simply when a security review takes place. It is how an enterprise makes decisions about AI. What information can a system access? What actions can it take? Who has authority over its deployment?
Effective governance should not mean creating another layer of bureaucracy. Its purpose is to make decisions clearer, responsibilities explicit, and boundaries understood. The goal is to create the conditions in which successful AI initiatives can scale with confidence.
Agentic AI raises the readiness bar
This becomes more important as AI moves from generating content to taking action.
Fifty-two percent of surveyed UAE enterprises have AI agents performing autonomous tasks in production or development. Yet only 10% consider themselves fully prepared to deploy agentic AI safely, while more than half have identified an AI agent acting beyond its intended authorization.
For business leaders, this is a tangible test of readiness. As agents interact with enterprise systems, organizations need clarity over what each agent is authorized to do, what it can access, and where its authority ends.
This is not about limiting agentic AI. It is about creating the conditions to use it with confidence. As autonomy increases, clear authority, monitoring, and accountability become more important.
Measure readiness, not just the presence of controls
Many enterprises are already introducing AI security measures, including data loss prevention, audit logging, behavioral monitoring, and prompt-injection detection. The leadership question is whether these measures add up to a security posture the organization can assess and improve.
Only 30% of surveyed organizations use a structured AI security assessment methodology with defined criteria and a scored baseline tracked over time.
A baseline turns readiness from an assumption into something leaders can evaluate. It identifies gaps, helps prioritize investment, and provides a way to track progress as AI adoption expands. The focus shifts from counting security activities to understanding whether safeguards provide the intended protection.
AI is also part of the security opportunity
There is good reason for optimism. AI is not only introducing new security considerations; it is also becoming part of the security response.
The research found that 66% of surveyed security professionals already use AI for security purposes, while the remaining 34% plan to do so within the next 12 months. Reported applications include data protection, security reporting, and security operations center (SOC) alert triage.
This creates an opportunity on two fronts: using AI to strengthen security operations while building the expertise and governance needed to manage AI responsibly across the enterprise.
Readiness turns AI ambition into confidence
The findings in Securing AI in the UAE Enterprise point to a clear priority: AI ambition must be matched by the governance, security, and accountability needed to sustain it.
That does not mean waiting until every risk has been eliminated. It means understanding where the organization stands, identifying the gaps that matter most, and strengthening readiness as AI use expands.
UAE enterprises are already adopting AI, introducing controls, and building practical experience. The next step is to connect these efforts through clearer accountability and a structured way to assess progress.
For business leaders, two questions matter: Who has authority over AI deployment decisions? And how does the organization measure its readiness to manage AI-related risks?
These questions do not constrain innovation. They create the conditions for scaling it with confidence. The UAE has strong momentum behind its AI ambitions. The organizations best positioned to realize that potential will be those that match the pace of adoption with the ability to govern, secure, and scale AI effectively.
