Artificial Intelligence Fraud and How to Spot It

While artificial intelligence (AI) is helping organizations automate processes, improve decision-making, and enhance efficiency, it’s also reshaping (and enhancing) fraud risk. Today’s fraud schemes are faster, more scalable, and more sophisticated, often powered by AI tools that can mimic real people, generate convincing documents, and bypass traditional controls. For internal auditors and accounting professionals, understanding artificial intelligence fraud is essential. 

Summary 

As artificial intelligence transforms the fraud landscape by enabling more sophisticated, scalable schemes like deepfakes and automated operations, it is becoming increasingly critical for internal auditors to upskill, strengthen internal controls, and leverage AI-driven detection tools to effectively manage these evolving risks. 

How Are AI and Fraud Related? 

AI is powerful. And when used responsibly and ethically, it can create operational advantages for organizations. But in the wrong hands, it can also enable new fraud techniques while enhancing traditional ones. 

AI systems can generate realistic false media, instantly analyze large data sets to pinpoint vulnerabilities, and automate interactions that mimic human behavior—all tools useful for those attempting to create fraud. This means fraudsters can execute schemes at scale while also making them harder to detect. In fact, a significant majority of internal audit leaders view artificial intelligence fraud as a moderate to high risk.

Examples of Artificial Intelligence Fraud 

AI fraud includes both new, technology-driven schemes and traditional fraud enhanced by AI tools. 

1. AI Phishing and Social Engineering 

Fraudulent actors use AI to generate highly personalized emails, messages, and interactions that appear legitimate, making phishing schemes more effective and harder to spot. These communications are often tailored using publicly available or stolen data, both easily accessible and scalable using AI tools. 

2. Fabricated Financial Documents 

AI can create realistic invoices, receipts, and contracts that closely mimic legitimate business records. These documents may contain subtle inconsistencies, but at first glance, they appear authentic. 

3. Deepfake Audio and Video Impersonation 

AI-generated voice and video technology allows fraudsters to impersonate executives, vendors, or employees in real time. These deepfake interactions can be used to authorize payments and manipulate decision-making. 

4. Synthetic Identity Fraud 

This involves combining real and fake information to create entirely new identities for financial or employment fraud. Although less recognized, it is a rapidly growing risk area. 

5. Automated Fraud Operations 

By combining generative, conversational, and autonomous AI tools, fraudsters can create fake vendors, generate invoices, and respond to inquiries in real time. This creates end-to-end fraud schemes that operate with minimal human intervention and can be scaled instantly. 

How to Detect and Prevent AI Fraud 

While AI increases fraud risk, it also provides opportunities to strengthen detection and prevention. Internal auditors play a critical role in identifying weaknesses, advising leadership, and improving controls. 

Key Warning Signs of AI Fraud 

Content generated by AI and fraud often includes subtle inconsistencies, such as: 

• Formatting errors or overlapping elements 
• Minor calculation discrepancies 
• Irregular logos, barcodes, or branding 

Recognizing these indicators can help auditors detect fraud earlier. 

Best Practices for Prevention 

1. Strengthen Internal Controls 

Internal audit teams frequently focus on evaluating control weaknesses and recommending improvements to reduce fraud risk. 

2. Invest in Skills and Training 

Growing familiarity with AI correlates with increased risk awareness—suggesting that the more professionals understand the technology, the more they recognize its potential for misuse. AI training and continuing education is critical to empower internal audit and other professionals within an organization to identify and prevent artificial intelligence fraud. 

3. Improve Organizational Awareness 

Organizations should implement awareness programs and training to help employees recognize AI fraud attempts. Internal audit professionals can help lead these efforts as the experts in fraud risk and prevention, making their AI training likewise indispensable. 

4. Enhance Collaboration 

Effective fraud prevention requires coordination between internal auditors, IT and cybersecurity teams, and risk management professionals. This cross-functional collaboration improves detection and response efforts. 

5. Leverage AI for Detection 

Internal audit is increasingly using AI tools to support risk assessment, audit planning, and data analysis. AI can improve the ability to identify anomalies and fraud patterns, leveraging the very strengths that make AI fraud so effective to identify and avoid it. 

Why AI Fraud Matters for Internal Auditors 

Despite rising awareness, many organizations remain underprepared. More than half of internal audit leaders report being minimally prepared or unprepared to detect AI fraud, citing barriers such as skills gaps, limited technology, and budget constraints. This highlights a critical need for upskilling and stronger fraud risk strategies for internal auditors. 

However, AI fraud is not just a technology issue; it’s also a governance, risk, and control challenge, and therefore internal auditors are still the most capable professionals to address and protect against it. They are uniquely positioned to: 

• Assess fraud risks 
• Evaluate control effectiveness 
• Guide organizations on AI governance 
• Strengthen fraud detection frameworks 

As AI adoption continues to grow across organizations, the internal auditor’s role will become even more critical in managing these risks, and internal auditors must be ready to take on that responsibility. 

Be Prepared Against AI Fraud

As AI fraud reshapes the internal audit landscape, internal auditors must be ready to adapt. Earning the Certified Internal Auditor^® (CIA^®) designation helps you build the knowledge and skills needed to understand emerging fraud risks, strengthen internal controls, and provide risk management strategy insights.  

Becoming a CIA strengthens your expertise in fraud risk, internal audit, and AI-driven challenges. Download Becker’s free CIA Exam Guide to learn about being a CIA, passing the CIA Exam, and preparing you to build your internal audit skills.