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Subscribe03 APR 2026 / ACCOUNTING & TAXES
Maryland authorities recently blocked over $15 million in fraudulent tax refunds, flagging more than 5,000 suspicious returns ahead of the annual deadline. This represents a rapidly growing trend of sophisticated, tech-driven tax fraud schemes involving identity theft, false filings, phishing, and misuse of tax credits, necessitating increased use of advanced analytics and artificial intelligence for fraud detection, as well as stricter verification processes and early filing by taxpayers.
A taxpayer files early, expecting a smooth refund. Weeks later, a notice arrives asking them to verify their identity. Confusion sets in, they already filed, so what changed? In many cases, the answer is simple and unsettling: someone else filed first. It feels like a scene from Catch Me If You Can, but this is real. Maryland recently flagged over 5,000 suspicious returns and blocked more than $15 million in fraudulent refunds ahead of the April deadline. It may look like a win, but it points to something bigger, a fast-growing, tech-driven wave of tax fraud.
Tax fraud in Maryland is not new. What has changed is its scale and sophistication. In 2017, multiple tax preparers were stopped due to suspicious filings. By 2020, nearly 20 preparers were barred, reflecting coordinated attempts to exploit refund systems. More recently, in January 2026, federal prosecutors charged individuals in a scheme spanning 2018 to 2024, involving fabricated dependents, inflated income, and misuse of credits like the Earned Income Tax Credit and education credits, with over $3.5 million in fraudulent refund claims. The pattern is consistent. Fraud evolves, but the strategy remains the same, exploit speed before verification catches up.
During the current filing season, Maryland flagged over 5,000 suspicious returns and prevented more than $15 million in fraudulent refunds from being issued. This reflects a shift toward analytics-based fraud detection, where systems identify anomalies in filing patterns, refund claims, and identity mismatches. Earlier warnings also included phishing attempts impersonating official communication, requesting sensitive data in exchange for promised refunds. The key shift is clear. Fraud is no longer limited to false filings. It now includes identity manipulation, phishing, and coordinated digital tactics.
This type of fraud is built around identity theft and timing, not traditional underreporting. Fraudsters obtain sensitive data such as Social Security numbers (SSN), names, and addresses, often through phishing or data breaches. They file returns early, claiming refunds before legitimate taxpayers act.
Because initial IRS checks rely heavily on name and SSN matching, these returns can pass early validation. Refunds are then directed to prepaid cards or controlled accounts, and quickly withdrawn. Victims typically discover the issue only after receiving notices or attempting to file. What is changing now is the role of artificial intelligence, which allows fraudsters to create more realistic filings, automate processes, and scale operations rapidly.
While the Maryland case focuses on identity fraud, trust structures are often used in more complex schemes. In the U.S., trusts are treated as either separate taxable entities or pass-through structures, depending on their type.
| Trust Type | Key Rule | Filing Requirement | Deadline |
|---|---|---|---|
| Grantor Trust | Income reported on individual return | No separate filing | With Form 1040 |
| Simple Trust | Must distribute all income | Form 1041 if $600+ income | April 15 |
| Complex Trust | Can retain or distribute income | Form 1041 | April 15 |
| Irrevocable Trust | Separate taxpayer | Form 1041 required | April 15 |
Fraud involving trusts typically arises when entities are used without real economic activity to generate artificial deductions or refunds. The takeaway is straightforward. Structure alone does not validate a transaction. Substance always matters.
For CPAs and tax professionals, this case reinforces several critical responsibilities, and the role is evolving beyond return preparation.
Fraud is evolving fast, and detection systems are struggling to keep pace. Authorities are increasing the use of analytics, AI tools, and identity verification, while taxpayers face stricter checks. Programs like Identity Protection PINs and early filing are becoming essential safeguards. However, limited resources and high filing volumes mean not all fraud is caught in time. Blocking $15 million is significant, but it highlights a deeper issue, modern tax systems are faster and more exposed. For taxpayers, the priority is simple: protect data and file early. For professionals, accuracy is no longer enough. Proactive monitoring and verification are now critical in a system where fraud can happen before anyone notices.
Until next time…
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