AI and Business Risk in the UAE: Why Companies Need Human-Led Resilience Strategies in the Age of Deepfakes and Misinformation
Artificial intelligence is becoming a key business capability in the UAE, helping organisations improve risk management and decision-making. However, the rise of AI-generated misinformation, deepfakes and cybersecurity threats is forcing companies to rethink how they build operational resilience.
Artificial intelligence is moving rapidly from experimentation into everyday business operations across the UAE.
Companies are using AI to analyse information, automate processes, improve customer experiences and support strategic decisions. At the same time, organisations are discovering that adopting AI creates a new category of business risks that require stronger governance, cybersecurity controls and human oversight.
The challenge for businesses is no longer whether to use AI, but how to use it responsibly while protecting employees, customers, data and reputation.
Recent insights from the International SOS Risk Outlook 2026 Pulse Check highlight this changing environment. The research shows that organisations increasingly recognise AI as a valuable tool for verifying information and supporting risk decisions, while also identifying misinformation, synthetic content and unclear response processes as growing challenges. [1]
For UAE businesses operating in a highly connected digital economy, the ability to combine AI capabilities with human judgement will become a critical factor in long-term resilience.
How UAE organisations are using AI for risk management
The UAE has positioned artificial intelligence as a major driver of economic transformation through government initiatives and investment in digital infrastructure. The country’s National Strategy for Artificial Intelligence 2031 aims to strengthen AI adoption across sectors and support the development of AI-enabled services and industries. [2]
For businesses, AI is increasingly being used as a decision-support technology.
Common applications include:
- analysing large volumes of business information;
- identifying operational risks;
- improving cybersecurity monitoring;
- supporting employee safety and wellbeing programmes;
- predicting market and customer trends;
- automating repetitive processes.
In risk management, AI can help organisations collect information faster and identify potential issues earlier.
The International SOS Risk Outlook 2026 Pulse Check found that almost 60% of respondents believe AI’s greatest potential lies in verifying or validating information across multiple sources. [1]
This reflects a growing shift in corporate thinking. AI is no longer viewed only as a productivity tool; it is becoming part of the infrastructure companies use to understand uncertainty and respond to changing conditions.
For organisations operating across international markets, supply chains and complex regulatory environments, faster access to reliable information can improve both speed and quality of decision-making.
The growing threat of AI-generated misinformation and deepfakes
While AI provides significant opportunities, it also creates new risks.
Generative AI tools can now produce highly realistic text, images, audio and video content. This has increased concerns around misinformation, impersonation and digital manipulation.
Deepfake technology is particularly challenging because it can be used to create fake videos, imitate voices or produce false communications that appear to come from trusted individuals.
For businesses, these risks can affect several areas:
Executive decision-making
Senior leaders increasingly rely on rapid information flows. If false information enters decision-making processes, companies may make incorrect decisions or delay necessary action.
Cybersecurity
AI-generated content can make social engineering attacks more convincing. Criminal groups can use synthetic voices, emails or videos to impersonate executives, employees or business partners.
Brand reputation
False information spreading through digital channels can damage customer trust and create reputational challenges.
Crisis response
During emergencies, accurate information is essential. Manipulated content can create confusion and make coordinated responses more difficult.
The World Economic Forum has identified misinformation and disinformation as among the major global risks affecting societies and organisations, highlighting the increasing difficulty of distinguishing reliable information from manipulated content. [3]
Why cybersecurity strategies must evolve with AI adoption
Traditional cybersecurity approaches focused mainly on protecting networks, devices and applications. However, AI introduces additional risks related to data usage, automated decisions and information flows.
Businesses adopting AI need to address several questions:
- What company information is being shared with AI systems?
- How are AI tools being accessed by employees?
- Are AI-generated outputs being reviewed before use?
- How is sensitive data protected?
The European Union Agency for Cybersecurity (ENISA) has highlighted that AI systems introduce new cybersecurity challenges, including vulnerabilities related to data, models, infrastructure and the use of AI in attacks. [4]
For UAE businesses, effective AI security requires a combination of technology and internal policies.
Important priorities include:
Data protection
Companies need clear rules for protecting confidential information, customer data and intellectual property when using AI tools.
Access controls
Organisations should define who can use AI systems and what information they are permitted to process.
AI governance
Businesses need procedures for reviewing AI outputs, managing risks and ensuring accountability.
Employee awareness
Employees must understand both the benefits and limitations of AI technologies.
Operational resilience remains a human challenge
Technology alone cannot guarantee business resilience.
The International SOS research highlights that many organisations continue to face challenges in responding quickly to emerging risks. Only a small proportion of organisations describe themselves as able to respond “very quickly”, while others report uncertainty around escalation processes and responsibilities. [1]
This demonstrates an important principle: resilience depends not only on having better information, but also on having effective decision-making structures.
AI can:
- identify patterns;
- summarise information;
- highlight potential risks;
- support faster analysis.
However, high-impact decisions involving people, safety, security or reputation still require human judgement.
A company that relies entirely on automated recommendations without appropriate review processes may create new vulnerabilities instead of reducing existing ones.
Building a human-led AI strategy in the UAE
For UAE companies, the objective should not be to slow AI adoption. Instead, organisations need to develop responsible frameworks that combine technological capability with human accountability.
A practical approach includes:
1. Establishing clear AI policies
Businesses should define acceptable AI usage, data protection requirements and approval procedures.
2. Keeping humans involved in critical decisions
AI should support decision-makers, while responsibility remains with qualified professionals.
3. Strengthening cybersecurity controls
AI adoption should be accompanied by improved monitoring, access management and data protection.
4. Training employees
Teams need the skills to use AI effectively while recognising misinformation and potential risks.
5. Improving crisis response structures
Companies should clearly define responsibilities, escalation procedures and communication channels.
The future of AI and business resilience in the UAE
Artificial intelligence will continue to transform how organisations operate in the UAE. Companies that successfully integrate AI into their business models will gain advantages in efficiency, analysis and innovation.
However, the next stage of AI adoption will be defined not only by technology, but by trust.
Businesses will need to ensure that AI systems are supported by strong governance, cybersecurity protection and responsible decision-making.
The most resilient organisations will not be those that simply automate the most processes. They will be those that understand where AI creates value and where human judgement remains essential.
In the age of deepfakes, misinformation and rapidly evolving digital risks, the future of business resilience will depend on a partnership between artificial intelligence and human expertise.
Sources
[1] International SOS – Risk Outlook 2026 Pulse Check
https://www.internationalsos.
[2] UAE Artificial Intelligence Office – UAE National Strategy for Artificial Intelligence 2031
https://ai.gov.ae/strategy/
[3] World Economic Forum – Global Risks Report 2026
https://www.weforum.org/
[4] European Union Agency for Cybersecurity (ENISA) – Artificial Intelligence Cybersecurity Challenges
https://www.enisa.europa.eu/
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