Synthetic Identitie and Check Fraud: A Rising Threat to Commercial Bank Accounts

Fraud has always been part of the banking world, but how criminals commit fraud has changed dramatically. Today’s fraudsters no longer rely only on stolen credit cards or hacked online accounts. Instead, they create fake people who do not exist. These fake personas are known as synthetic identities, and they are being used to commit large-scale financial crimes.

One of the most dangerous trends is the combination of synthetic identity fraud and business check fraud. Together, they pose a serious and growing threat to commercial bank accounts, especially for small and medium-sized businesses. This article explains what synthetic identities and check fraud are, how they are used in check fraud, and what banks and businesses can do to protect themselves.

Understanding Synthetic Identity Fraud

Unlike traditional identity theft, synthetic identity fraud does not rely on stealing one person’s full identity. Instead, criminals create entirely new identities by mixing real and fake information. This sophisticated crime now accounts for four out of five fraud cases involving newly opened accounts.

What Is Synthetic Identity Fraud?

Synthetic identity fraud occurs when criminals combine legitimate personal information with fabricated details to create believable fake identities. These are often called “Frankenstein IDs.”

Typically, fraudsters use real Social Security numbers, often belonging to children, elderly individuals, or homeless people, and pair them with fake names, birthdates, and addresses.

The result is an identity that does not belong to a real person but looks authentic enough to pass initial checks. These identities allow criminals to open bank accounts, apply for loans, and access credit with no intention of paying anything back.

Read Also: How to Reduce Losses From Synthetic Identity Fraud

How Synthetic Identities Are Created

The process usually happens in stages. First, criminals collect personally identifiable information (PII) through data breaches, dark web marketplaces, or social engineering tactics. They then combine this real data with fake information to form a new identity.

There are two main types of synthetic identities:

• Manipulated synthetics: Real identities that are slightly altered to hide poor credit history
• Manufactured synthetics: Fully fabricated identities built from pieces of multiple data sources

Once the identity is created, criminals often move slowly. They open accounts, make small purchases, and pay bills on time. Some maintain these identities for a year or more to build credibility before committing fraud.

Why Synthetic ID Fraud Is Hard to Detect

Synthetic identity fraud is especially difficult to catch. Unlike traditional identity theft, there is no real victim to report suspicious activity. Without complaints or alerts, these fake accounts often remain unnoticed until the “bust-out” phase, when fraudsters max out credit lines and vanish.

Many financial institutions also misclassify these losses as normal credit defaults instead of fraud. Over time, synthetic identities build legitimate-looking credit histories, which weakens traditional verification methods and allows fraud to continue undetected.

The Rise of Business Check Fraud

Even as digital payments grow, checks remain a major weakness. According to the 2025 AFP Payments Fraud and Control Survey, 63% of organizations experienced check fraud, making checks the most targeted payment method.

What Is Business Check Fraud?

Business check fraud involves using checks illegally to steal money from commercial accounts. Criminals use several methods, including creating counterfeit checks, altering real checks by changing payee names or amounts, and forging signatures.

This type of bank fraud remains dangerous because checks move through systems slowly, giving criminals time to withdraw funds before fraud is detected.

How Synthetic Identities Are Used in Check Fraud

Synthetic identities play a key role in modern check fraud schemes. Criminals use these fake personas to open accounts, cash fraudulent checks, and move money without linking activity to a real person.

Often, fraudsters test accounts with small check transactions first. Once they confirm weaknesses, they execute larger attacks. Because synthetic identities don’t link to real individuals, investigators struggle to trace them, and reporting becomes much harder.

Synthetic Identities and Check Fraud: A Dangerous Combination

When synthetic identity fraud and check fraud work together, the damage can be severe. This combination has become one of the most challenging threats facing banks and financial institutions today.

How Synthetic Identities Enable Check Fraud

Synthetic identities act as a perfect cover for check fraud. They move smoothly through onboarding and verification processes because they appear legitimate.

Unlike traditional identity theft, there is no individual monitoring activity or reporting fraud. Criminals build trust over time, establish banking relationships, and then carry out a bust-out, draining accounts and disappearing without a trace.

Why Commercial Bank Accounts Are Prime Targets

Commercial accounts attract fraudsters for several reasons:

• First, businesses often have access to much higher credit limits than individuals.
• Second, banks frequently misclassify losses as credit issues rather than fraud, allowing criminals to continue operating.
• Finally, once a synthetic business identity is established, criminals can access multiple banking products at once, enabling coordinated fraud across different systems.

The Role of AI and Data Breaches

Generative artificial intelligence has dramatically increased the scale and speed of synthetic identity fraud. Combined with massive data breaches, it has created ideal conditions for advanced fraud schemes.

How Generative AI Speeds Up Identity Fraud

Generative AI allows criminals to create synthetic identities faster and with greater realism. These tools can analyze huge datasets, generate unique identities, and avoid patterns that trigger fraud alerts.

Deepfake technology is now widely available through apps and online tools. This reduces effort for criminals while increasing success rates, enabling them to target more victims at once.

The Impact of Large-Scale Data Breaches

Data breaches supply the raw materials needed for synthetic identity fraud. In 2024 alone, 3,158 data breaches were reported in the U.S., resulting in 1.7 billion notification notices. Each breach provides criminals with real data that can be reused, combined, and repurposed to create thousands of fake identities.

Deepfakes and Fake Documents in Banking

Banks now face AI-generated deepfakes, including realistic videos and audio with natural speech patterns and gestures. Criminals also use AI to produce convincing fake documents such as driver’s licenses and birth certificates.

Deepfake fraud attempts have increased by 2,137% over three years, now representing 6.5% of all identity fraud cases. In one 2024 incident, a Hong Kong employee was tricked into wiring  $25 million after deepfake videos impersonated senior executives during a video call.

How Banks Can Detect and Prevent Synthetic ID Fraud

Banks need strong and flexible security systems to protect themselves from synthetic identity fraud. Using multiple layers of protection together is one of the most effective ways to stop fraud while keeping the customer experience smooth.

1) Layered Identity Verification

Using multiple verification methods together creates stronger protection. Cross-industry fraud networks allow institutions to share intelligence in real time, improving detection while reducing unnecessary friction for legitimate customers.

2) Real-Time Detection and Behavioral Analytics

Traditional batch fraud checks are no longer enough. Real-time monitoring allows banks to stop fraud as it happens. Behavioral analytics analyze typing speed, mouse movements, and navigation behavior to spot suspicious activity early.

3) Biometric and Device-Based Authentication

Facial recognition with liveness detection makes it difficult for fraudsters to use deepfakes. Device fingerprinting adds another layer by analyzing hardware characteristics and user behavior to confirm identity authenticity.

4) Strengthening KYC and AML Programs

Modern KYC programs must go beyond onboarding. Continuous monitoring helps identify unusual activity over time. AI-powered AML systems combine watchlists, transactions, and identity data to expose inconsistencies common in synthetic identities.

The Value of Unified Fraud Prevention Platforms

As fraud schemes grow more interconnected, siloed controls become less effective. Banks benefit from platforms that unify identity verification, transaction monitoring, behavioral analytics, and check fraud detection into a single, coordinated framework.

Solutions like SENTRY: FraudSuite are designed to address this reality by providing:

• Cross-channel visibility into fraud risk
• Real-time detection across identity and payments
• Behavioral insights that evolve with customer activity
• Actionable intelligence without unnecessary friction

By consolidating fraud signals and enabling smarter decision-making, banks can better protect commercial customers while maintaining efficient operations.

Conclusion

Synthetic identities and check fraud represent a serious and growing threat to commercial bank accounts. These crimes are hard to detect because the fake identities look real and there is no clear victim to report the fraud. When used together, they allow criminals to gain trust, access banking services, and steal large amounts of money before disappearing.

Business accounts are especially at risk because they handle higher transaction values and have more complex operations. While criminals use advanced technology, banks also have strong tools to fight back. Banks can significantly reduce risk by using strong identity checks, real time monitoring, behavioral analysis, and working closely with industry partners. Staying proactive is key to protecting customers and the financial system.

Contact SQN Banking Systems to find out how SENTRY:FraudSuite can protect your financial institution from check fraud and payments fraud.