As artificial intelligence becomes a core part of cybersecurity strategies, organisations across the UAE are increasingly relying on automation to manage growing threats. AI tools are helping security teams handle alerts faster, reduce manual workload, and streamline operations in security operations centres (SOCs). While these improvements suggest stronger defences, experts caution that the apparent efficiency may be masking deeper risks. Systems that quietly fail to detect threats can create dangerous gaps, where reduced alerts are mistaken for improved security rather than a lack of visibility.

The challenge lies in how organisations measure success. Fewer alerts and quicker resolutions may look like progress, but they can also lead to overconfidence in automated systems. With the UAE facing hundreds of thousands of cyberattacks daily—many powered by advanced AI tools—traditional defence models trained on past patterns may struggle to detect emerging threats. Security leaders warn that automation can create a false sense of certainty, where critical risks are filtered out or overlooked, leaving organisations unaware of their vulnerabilities.

To address this, experts emphasise the need for “guided automation,” where AI supports rather than replaces human judgment. Maintaining visibility, accountability, and proper governance is essential, especially as “shadow AI” tools—used informally by employees—introduce unmonitored data flows and security gaps. As reliance on AI continues to grow amid skill shortages and alert fatigue, the key challenge will be balancing speed with oversight, ensuring that human control remains central to cybersecurity decision-making.