Why employees using external AI tools poses security risks for UAE employers

Many employees in the UAE are turning to external generative artificial intelligence platforms to speed up their daily tasks, yet this practice carries significant hidden dangers. Cyber security specialists are advising organisations to remain alert to the threats associated with staff using outside applications such as Gemini, ChatGPT, and Claude, according to The National. Using unauthorised external systems—often called "shadow AI"—can expose proprietary assets, leak critical customer information, and even allow malware to enter internal business networks.

What changed

The widespread adoption of generative AI has made it incredibly easy for staff to paste corporate texts, draft emails, or upload documents into cloud-based tools. However, doing so transfers private information to databases managed by third parties. If a worker's personal login credentials are compromised, confidential company files could easily fall into the wrong hands. Experts speaking at the Ai Everything summit in Abu Dhabi warned that firms often have no trace of which tools their staff are utilising or what kind of data is being shared with these external models. Furthermore, the regional scale of security issues is significant: IBM's 2026 Middle East Cost of a Data Breach Report showed that 26 per cent of malicious breaches involved AI, with the average breach costing companies in the UAE and Saudi Arabia around $8 million.

What it means for employers

For businesses, the rise of shadow AI means they must actively manage how their staff interact with technology. Leaders must identify where unapproved applications are being used and establish secure, internal alternatives with strict access boundaries. Beyond simple text helpers, the rapid evolution of "agentic AI"—autonomous systems that complete complex jobs with minimal human oversight—poses a different challenge. Because AI systems cannot be held legally responsible, human managers must remain accountable for their outputs. Businesses need to govern these systems much like a digital workforce, setting performance reviews and defining clear limits on their authority. Ultimately, organizations should consult legal and cyber security experts to ensure their specific data-handling frameworks comply with local regulations.

What it means for job seekers

Employees and job seekers must realize that utilizing unauthorised platforms to increase productivity can violate company policies and threaten their employment status. While finishing tasks faster is beneficial, inputting personally identifiable information or proprietary code into external public clouds creates severe security liabilities. Professionals must learn to work alongside authorized enterprise solutions and prepare to be trained on corporate AI guidelines. Understanding the limits of these tools and knowing how to verify their output will become a crucial skill for candidates in the modern job market.

What to do now

• Audit current tools: Identify which external AI applications are currently being accessed by staff across the organisation.
• Provide secure alternatives: Set up approved internal systems and enforce strict limits on who can access them.
• Educate the workforce: Train workers on data privacy guidelines and explain why pasting customer information into external cloud tools is unsafe.
• Monitor and review: Keep structured records of AI interactions and establish human checks to verify all AI-generated actions before they are completed.