UAE Accelerates AI Adoption Amidst Growing Security Challenges

The rapid integration of artificial intelligence (AI) into organizational frameworks is reshaping the cybersecurity landscape, revealing significant vulnerabilities in security preparedness. A recent report by Proofpoint, titled the 2026 AI and Human Risk Landscape report, highlights the critical gap between the swift operationalization of AI technologies and the ability of organizations to secure and investigate the associated risks. This global study surveyed over 1,400 security professionals across 12 countries, shedding light on how the accelerated adoption of AI is transforming enterprise collaboration while exposing structural weaknesses in security controls and incident response mechanisms.

The State of AI Deployment

AI is increasingly becoming a core component of various organizational functions, including customer support, internal messaging, email workflows, and third-party collaborations. The report indicates that globally, 87% of organizations have moved AI assistants beyond the pilot phase, with 76% actively piloting or rolling out autonomous agents. However, despite substantial investments in AI tools and security controls, a significant portion of organizations lack confidence in their effectiveness. Specifically, 52% of respondents expressed uncertainty about whether their AI security measures could detect a compromised AI system, and half of those with existing controls reported experiencing a confirmed or suspected AI-related incident.

Moreover, the report reveals that many organizations are ill-equipped to investigate AI-related incidents that span multiple systems and channels. Only one-third of organizations claim to be fully prepared to handle such investigations, underscoring a critical readiness gap.

Insights from Industry Leaders

Ryan Kalember, Chief Strategy Officer at Proofpoint, emphasized the widening divide between AI adoption and security readiness. He noted that while organizations are scaling AI assistants and autonomous agents across essential workflows, many cannot verify the effectiveness of their security controls or adequately investigate incidents that traverse collaboration channels. As AI becomes increasingly embedded in operational processes, security leaders must rethink their strategies to safeguard interactions involving people, data, and AI systems.

Emile Abou Saleh, Vice President of Emerging Markets at Proofpoint, highlighted the UAE’s rapid AI adoption as one of the fastest-growing markets in the region. However, he cautioned that cybersecurity measures are struggling to keep pace with this growth. The region is witnessing a notable increase in phishing attacks, both in volume and sophistication, driven by geopolitical tensions that fuel targeted campaigns. Cybercriminals are increasingly leveraging both AI and human behavior to enhance their impact. Many organizations in the UAE are already grappling with these threats in real-time environments. The focus, according to Abou Saleh, should shift towards establishing robust foundations: enhancing visibility, strengthening governance, and developing security measures that align with the evolving use of AI.

Key Findings from the UAE

The report outlines several critical findings specific to the UAE:

AI Deployment Has Outpaced Security Readiness

AI adoption has surged ahead of the maturation of governance frameworks. 92% of organizations in the UAE have deployed AI assistants beyond pilot stages, and 80% are advancing autonomous agents. However, 55% of organizations describe their security posture as either catching up, inconsistent, or reactive. Furthermore, 41% reported experiencing a suspicious or confirmed AI-related incident, indicating that exposure is already prevalent in live environments.

Collaboration Channels as Primary Attack Vectors

AI is expanding the attack surface, allowing threats to proliferate at machine speed and affect interconnected workflows. Third-party SaaS and cloud applications are identified as the most common threat vectors, accounting for 58% of incidents. Exposure also extends across email (52%), social and messaging platforms (42%), and SMS or text communications (41%). Among organizations that faced AI-related incidents, exposure rates increased across all channels, with 59% in third-party SaaS and cloud applications and 51% in file-sharing platforms.

Confidence vs. Control Effectiveness

Despite having security controls in place, many organizations lack assurance regarding their effectiveness. 57% of UAE organizations report having AI security coverage, yet 51% are not fully confident that these controls would detect compromised AI. Additionally, 40% of organizations with controls still reported experiencing AI-related incidents. Notable gaps persist, including a lack of risk assessments for AI workflows (48%), no models for detecting compromised agents or exploited AI assistants (44%), and inadequate training (41%).

Investigation Readiness

When AI-related incidents occur, many organizations struggle with effective investigations. Only 53% of respondents in the UAE feel fully prepared to investigate an AI or agent-related incident, and 39% report challenges in correlating threats across channels. As AI-related activities span email, collaboration platforms, and cloud systems, the ability to reconstruct events relies heavily on visibility across interconnected environments, which many organizations currently lack.

Tool Sprawl as a Structural Barrier

Fragmentation across security stacks exacerbates the challenges organizations face, limiting visibility and slowing response times when incidents occur. A staggering 98% of organizations in the UAE report that managing multiple security tools is at least moderately challenging, with 68% describing it as very or extremely difficult. Respondents cite overlapping or redundant tools (45%), difficulties in correlating threats (39%), and slow investigation times (39%) as significant barriers.

Strategic Priorities in Security Architecture

As AI continues to scale, 51% of organizations in the UAE are actively pursuing vendor and tool consolidation, with 47% believing that a unified platform is more effective than point solutions. Over the next year, 65% plan to expand AI protections, 64% intend to enhance collaboration channel coverage, and 65% expect to adopt a unified platform approach.

Kalember noted that while AI introduces new risks, such as prompt engineering, its most significant impact lies in amplifying existing risks. Challenges like running untrusted code, mishandling sensitive data, and losing control of credentials have persisted for decades, but AI executes these vulnerabilities at unprecedented speed and scale. When organizations grant AI the authority to act on their behalf across various systems, the potential fallout from failures increases dramatically. The focus should not be on treating AI as a novel threat category but rather on applying rigorous, proven controls to all AI interactions and operations.

For further insights and developments on this topic, refer to the original reporting source: securitymea.com.

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