AI Is Making Fraud Smarter. Is Your Business Ready?
Published on by Chaleise Fleming in Technology
- AI is making fraud harder to detect by helping scammers create convincing emails, deepfakes, voice clones, and highly personalized attacks.
- Traditional fraud schemes are becoming more sophisticated as AI strengthens phishing, business email compromise, impersonation, and social engineering tactics.
- Independent verification is increasingly important when handling financial requests, payment changes, or other sensitive transactions.
- Strong internal controls remain a key defense through segregation of duties, dual approvals, employee training, and clear reporting procedures.
- Fraud prevention strategies need to evolve alongside AI to help organizations identify vulnerabilities and stay ahead of emerging threats.
Artificial intelligence (AI) is transforming how we operate. From automating routine tasks to improving efficiency and decision making, AI can offer tremendous benefits. But fraudsters are also leveraging the same technology to make their scams faster, harder to detect, and even more convincing.
Fraud isn’t a new concept, but AI has increased the sophistication of traditional fraud schemes. With the help of AI, fraudsters can now generate realistic emails, clone voices, create convincing videos, and gather publicly available information in seconds. As a result, businesses and individuals must adapt their fraud prevention strategies to keep pace with an evolving threat landscape.
Historically, many fraud schemes were easier to detect because they came with obvious warning signs. Phishing emails, for example, often contained spelling mistakes, grammatical errors, or unusual wording that raised red flags. Today, AI can eliminate many of those giveaways.
Modern AI tools also allow scammers to quickly research companies, employees, vendors, and customers using publicly available information. They can then use that information to create highly targeted and personalized attacks that appear legitimate and are much harder to detect.
Here are several ways AI is changing the fraud landscape.
Voice and video impersonation
Using AI deepfakes, fraudsters can take publicly available recordings and videos from social media, webinars, podcasts, and other sources to clone and mimic a person’s voice or appearance.
Scammers can use these deepfake voices to request an urgent wire transfer, change banking information, or authorize a payment. Deepfake video technology can even allow fraudsters to impersonate an executive or trusted contact during a video call. Simply seeing or hearing someone may no longer be enough to confirm their identity.
Phishing
Phishing emails have long been a common fraud tactic, but generative AI can make them significantly more convincing. Fraudsters can use AI to mimic the writing style and tone of a desired sender, such as an executive, client, vendor, family member, or coworker.
The result is a message that may look legitimate and sound far more authentic than traditional phishing attempts, making it increasingly difficult to spot the scam at first glance.
Business email compromise (BEC)
By using AI tools to gather publicly available information, fraudsters can quickly identify key employees and create highly personalized requests. As AI continues to evolve, these schemes may extend beyond email to include phone calls and video requests, adding even more credibility to the scam.
The communication may appear to come from someone within your organization or another trusted contact, but the fraudster’s goal remains the same: convince an employee to transfer money, update payment instructions, or provide sensitive information.
AI-assisted social engineering
The most successful fraud schemes have always exploited human trust. AI makes social engineering even more effective by allowing fraudsters to quickly analyze publicly available information and use it to build convincing stories and impersonations.
As with traditional social engineering attacks, these requests often create a sense of urgency or pressure, encouraging someone to act before taking the time to verify whether the request is legitimate.
How to reduce your AI fraud risk
The technology may be changing, but many of the fundamentals of fraud prevention haven’t. Businesses can take several practical steps to reduce their exposure to AI-enabled fraud.
Verify all financial requests
Now that fraudsters can more easily replicate voices and appearances, don’t rely solely on a phone or video call to authorize account number updates, vendor changes, payment requests, or other financial transactions.
Always verify requests through a separate, trusted channel. For example, if an employee requests a payroll direct deposit change during a Microsoft Teams call, independently contact them using a known phone number or follow your organization’s established verification procedures.
Strengthen approval controls
Changes to ACH details, payroll information, wire transfer approvals, and other high-risk transactions should require appropriate levels of review and approval. Segregation of duties and dual-approval processes remain among the most effective fraud prevention controls.
Expand cybersecurity training
Phishing email training has become standard, but employee education shouldn’t stop there. Training should address newer threats, including deepfakes, voice cloning, AI-generated emails, and other evolving fraud tactics.
Employees should understand not only what these scams can look and sound like, but also what steps to take when something doesn’t seem right.
Limit publicly available information
Information available through your website, social media accounts, video platforms, and other public sources can potentially be accessed and used by fraudsters. Consider what information your organization and its employees share publicly and avoid posting sensitive or unnecessary details that could help someone build a convincing impersonation or scam.
Trust but verify
Employees should have a clear and safe way to question or follow up on unusual requests, even when they appear to come from senior leadership. Building a culture where verification is expected, rather than discouraged, can provide another important layer of protection.
Strong fundamentals still matter
AI is changing how fraud schemes are created and carried out, but the fundamentals of fraud prevention remain critical. Strong internal controls, segregation of duties, clear reporting procedures, employee awareness, and a strong anti-fraud culture can all help protect your organization as the threat landscape evolves.
Take a closer look at your fraud risk
As fraud tactics become more sophisticated, understanding where your organization may be vulnerable is increasingly important. A fraud risk assessment can help evaluate your internal controls, payment processes, approval procedures, and employee training to identify potential gaps before they’re exploited.
If you’re concerned about your organization’s exposure to fraud, we’re here to help. Our team of top cybersecurity pros can discuss how a fraud risk assessment can identify potential vulnerabilities and strengthen your internal controls. Contact us today for a free consultation.
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