AI Cyber Risk is the new way of how cybercriminals operate. Artificial intelligence is making digital scams faster, more convincing, and harder to detect. In the UAE, Federal Decree-Law No. 34 of 2021 on Combating Rumors and Cybercrime criminalises digital deception, impersonation, and unauthorised access, but AI-powered attacks are still evolving faster than traditional controls.
This article explains how AI changes cyber fraud, how deception-based attacks target employees and businesses, why traditional security tools are no longer enough, and what practical steps organisations can take to reduce AI-related cyber risk.
How AI Is Changing the Cyber Threat Landscape?
AI is transforming cybercrime. Attackers no longer rely on basic phishing emails or poorly written scams. With modern AI tools, cybercriminals can generate convincing messages, mimic writing styles, create realistic voices, and even produce video impersonations. These new AI cybersecurity risks make fraud attempts look real, increasing the chances that employees fall for them.
AI also allows attackers to automate tasks. Instead of sending a few phishing emails, they can send thousands of personalised messages in seconds. This scale makes AI-powered scams more dangerous than traditional cyber threats.
Businesses must understand that AI is not only a tool for innovation, but it is also a powerful weapon for cybercriminals.
Also check: Forensic Audit Services | Certified Fraud Examiner
AI-Powered Phishing and Social Engineering
Phishing is no longer easy to spot, as AI can write emails that sound exactly like a CEO, supplier, or colleague. Attackers use AI scams targeting businesses to trick employees into sharing passwords, approving payments, or opening malicious links.
AI-powered social engineering includes:
- Emails that match a manager’s writing style
- Messages that reference real projects or deadlines
- Fake WhatsApp or Teams messages generated by AI
- Voice notes that sound like real executives
These attacks work because employees trust familiar communication patterns. AI copies those patterns perfectly.
Need Expert Advice?
Contact the team at Farahat & Co. for professional support and expert insights for businesses operating in the UAE.
Deepfakes and Impersonation Attacks
Deepfake technology allows attackers to create realistic videos or audio clips of executives, suppliers, or clients. These deepfake scams can be used to request urgent payments, approve transfers, or share confidential information.
Examples include:
- A fake video call from a “CFO” asking for a quick transfer
- A voice message that sounds identical to a department head
- A supplier “confirming” new bank details through a deepfake call
Deepfakes remove the natural warning signs employees rely on. When the voice or face looks real, people act quickly. This is where the attackers take advantage.
Business Email Compromise and Fake Payment Requests
AI makes Business Email Compromise (BEC) more dangerous. Attackers use AI-powered cyber attacks to analyse email patterns, study communication habits, and craft messages that fit perfectly into ongoing conversations.
Common scenarios include:
- Fake payment requests from “executives”
- Supplier impersonation with updated bank details
- Invoice fraud using AI-generated documents
- Requests for confidential data or login credentials
AI can even translate messages into perfect Arabic or English, removing the grammar mistakes that used to expose scammers.
Why Traditional Security Controls Are No Longer Enough
Traditional cybersecurity tools focus on malware, suspicious links, or known attack patterns. AI-powered scams bypass these controls because they look legitimate. This creates a new level of business cyber risk.
Examples:
- Antivirus cannot detect a deepfake video call
- Firewalls cannot block a realistic AI-generated email
- Spam filters cannot identify messages written in a natural style
- Employees cannot rely on “gut feeling” when the scam looks real
This is why businesses must combine technology with human-focused controls.
Related: AML Compliance Services in UAE
Key Elements of an Effective AI Cyber Risk Management Approach
Below are the essential components of a modern defense strategy against AI-powered deception.
Verification Procedures
Verification is the strongest defense against AI social engineering. Employees must confirm any unusual request through a second channel.
Examples:
- Call the person directly using a known number
- Verify supplier bank changes through a separate contact by contacting the suppliers themselves
- Confirm payment approvals through internal systems
- Use multi-step approval for high-value transfers
Verification breaks the deception cycle.
Internal Controls and Payment Approval Processes
Strong internal controls reduce the impact of AI fraud, therefore, businesses should ensure:
- Segregation of duties in finance
- Dual approval for payments
- Limits on urgent transfers
- Clear rules for changing vendor details
- Restricted access to sensitive financial systems
These controls make it harder for attackers to succeed, even if an employee is tricked.
Employee Awareness and Training
Employees must understand how AI-powered scams work, so a training conducted by the company is preferable to be held and should be simple, practical, and focused on real examples. Cyber fraud prevention starts with awareness, and well-trained employees help avoid many risks.
Training topics include:
- How deepfakes look and sound
- How AI writes convincing emails
- How to verify unusual requests
- How to report suspicious activity
- How to handle urgent payment pressure
Regular Cyber Risk Assessments
AI threats evolve quickly and businesses must conduct regular cyber risk assessments to identify new vulnerabilities and update controls. Assessments should review:
- Communication channels
- Payment processes
- Access rights
- Vendor management
- Incident response plans
In practice, conducting assessments on an annual basis is advisable so the companies could follow up on their systems, as new risks may appear in the fast-paced nature of AI.
See also: Internal Audit Services
Incident Response for AI-Powered Attacks
When an AI-powered scam occurs, businesses must respond quickly. A clear incident response plan helps reduce damage.
Key steps include:
- Isolate affected accounts
- Notify IT and finance teams
- Review communication logs
- Contact banks if payments were made
- Report incidents under UAE cybercrime law
- Update controls to prevent repeat attacks
Frequently Asked Questions (FAQs)
Why is AI making cyber fraud more dangerous?
What is the biggest risk for businesses today?
Can traditional cybersecurity tools stop AI-powered scams?
How can employees protect themselves from AI-generated messages?
Are deepfake scams common in the UAE?
Need Expert Advice?
Contact the team at Farahat & Co. for professional support and expert insights for businesses operating in the UAE.
How Farahat & Co. Can Help
Farahat & Co. helps businesses assess their exposure to AI-powered scams and deception-based fraud, strengthen verification and payment approval controls, build employee awareness programs, and prepare incident response plans for AI-related cyber attacks.
Contact Farahat & Co. today to discuss protecting your business against AI-powered cyber fraud.
