Governance gaps, not technology, are emerging as the main barrier to scaling AI-driven cybersecurity across the UAE.
Despite rapid investment in artificial intelligence across enterprise systems, most AI initiatives are failing to deliver measurable results, raising fresh questions about execution, governance, and organisational readiness.
A recent report, The New Cyber Battleground, indicates that more than 95% of AI use cases globally do not deliver measurable business or security outcomes. The findings highlight a widening gap between AI adoption and real-world value creation.
In the UAE, where AI is increasingly embedded across critical digital infrastructure, the issue is becoming particularly relevant for cybersecurity teams tasked with protecting fast-expanding digital systems.
According to the report, AI-driven cybersecurity, analytics, and automation are seeing increased deployment across the Middle East over the past 18 months. However, organisations are struggling to convert these deployments into consistent operational impact due to gaps in problem definition, oversight, and execution maturity.
Globally, the challenge is reinforced by workforce behaviour. The report notes that 56% of professionals report making errors linked to AI-generated work, while 66% say they rely on AI outputs without verifying accuracy. This reliance underscores growing concerns around validation processes and accountability in AI-assisted decision-making.
In the UAE, where digital transformation is closely tied to economic diversification and national strategy, these findings point to a structural issue: governance has not kept pace with the speed of AI adoption.
Cybersecurity is one of the leading areas of AI deployment, particularly in threat detection, risk analysis, and automated response systems. However, as cyber threats become more identity-driven and complex, the need for structured validation and oversight is becoming more critical.
Recent insights from the UAE Cybersecurity Council show that identity theft and social engineering remain the primary entry points for cyberattacks, a trend that is becoming harder to manage as AI tools increase both defensive capability and attacker sophistication.
Speaking on the findings, Trevor Niblock, Partner, Digital Trust at KPMG Middle East, said organisations need to shift focus from rapid deployment to disciplined execution.
“The UAE has demonstrated strong leadership in digital transformation and AI integration,” he said. “In a more complex and fast-moving threat environment, organizations need to shift focus from speed of deployment to quality of implementation. Embedding accountability, validation, and lifecycle security into AI systems will be critical to strengthening resilience and maintaining trust as these technologies scale.”
The report suggests that as organisations expand AI use across cybersecurity functions, the differentiating factor is no longer access to technology, but the ability to govern it effectively.
Across the UAE, AI adoption is moving from experimentation to scaled deployment. However, this transition is exposing weaknesses in organisational structures, particularly in validation processes, risk ownership, and lifecycle governance.
As AI becomes more embedded in cybersecurity operations, the report concludes that organisations with stronger governance frameworks are more likely to translate investment into measurable outcomes, improve decision-making, and sustain long-term resilience.
