Fraud Trends Crucial to Understand in 2026

Americans lost $196 billion to fraud last year, up from $163 billion in the previous year. As financial institutions of all sizes contend with this ever-growing threat in all its forms, it’s important to stay abreast of evolving trends and regulatory responses. 

While the tactics and terminology of financial crime may change, many of the themes remain the same. Phishing and smishing schemes, for example, remain the most successful types of social engineering fraud and were associated with 60% of all confirmed breaches in 2025. Why? Because the people targeted in these fraud attacks remain the key point of vulnerability.  

These are some of the latest trends in the world of fraud and financial crimes: 

Hyper-personalized schemes that leverage LLMs 

Artificial intelligence is spreading into our personal and professional lives. Bad actors, too, are using it at greater speed and frequency to attempt fraud at a reduced cost and barrier to entry. Thanks in large part to sharing on the dark web, fraudsters have easy and unparalleled access to sensitive personal data to pursue scams. Pair that with fraud-focused large language models (LLMs) that create emails and texts, and these bad actors can scale and semi-automate their attacks with ease. 

Deepfake technology is growing ever more sophisticated. It can impersonate people using life-like audio and video, tricking would-be victims into sending money to digital imposters. AI also enables multi-step scams targeting diverse demographics. These work in tandem with Fraud-as-a-Service platforms that use AI to produce automated scripts, mule recruitment materials, and fraud kits.  

Pig butchering and sextortion—long-con scams that emotionally manipulate targets—are also on the rise.  

Check theft persisting in a digital age 

The number of checks written every year continues to decline, but the dollar value of check fraud is still rising. Because they can be physically stolen from a vulnerable U.S. mail system, contain a  
lot of personal data, are easily counterfeited, and can be overwritten, checks are more vulnerable to fraud than are real-time transactions, challenging the narrative in the market (e.g. “faster payments,  
faster fraud”).  

For now, check writing isn’t going away. Some of the reasons include: 

• Economic pressures playing a role in the resurgence of  
  check volumes 

• Covid-19 relief payments reinforcing checks as a legitimate payment method 

• Checks remaining entrenched in the B2B payments space 

Though there’s plenty of push from financial institutions to digitize payments, there are still a lot of use cases for checks. 

Account takeover (ATO) and synthetic IDs 

Fraudsters don’t usually plan just one illegal transaction. For their risk, they want the keys to the castle—access to an accountholder’s digital banking session. With it they’re free to move funds as they please. Since many financial institutions monitor the transactional element of an account, a suspicious login can take longer to identify without the right tools in place. 

The account takeover process goes hand in hand with the use of synthetic IDs, which are increasingly replacing manual recruitment of money mules. These “Frankenstein” accounts are used to extract money from the banking system. Fraudsters also use ATO to harvest data and enrich their synthetic identities. 

Employment fraud 

This trend can manifest in two ways: through getting hired under a false identity to access company systems; and by posting fake jobs to scam employment seekers out of money. Bad actors make employment seem legit by stressing urgent hiring, enacting a check kiting scheme for equipment, and stealing sensitive information needed during the standard I-9 process. 

Mitigation: Converging fraud, AML, and cyber operations 

The integration of fraud, AML and cyber is growing—financial institutions have been sharing data and insights across traditionally siloed teams to better detect predicate offenses and money-laundering activity. Institutions leveraging consortium databases and AI-enhanced data analysis can connect the dots faster on cross-channel, cross-institutional fraud.  

Modern attacks often follow the lifecycle of cyber intrusion, fraud execution, laundering, and sanctions exposure. These attacks mean all three departments are getting involved when it comes to prevention and incident response. 

Common models include: 

• Fraud and AML reporting to a single financial crime executive 

• Cyber threat intelligence embedded directly into financial crime operations 

• Shared triage queues before issues are categorized as “fraud,” “AML,” or “cyber” 

Adopting a converged fraud mitigation strategy 

As fraud tactics evolve from simple phishing to AI-driven, cross-channel orchestrations, the era of siloed security is over. The data is clear: 2026 demands a converged strategy where fraud, AML, and cyber operations act as a single unit. Staying ahead isn’t just about better tools. It’s about better integration and a relentless focus on closing the “human” gaps in the digital chain. Financial institutions that act strategically now will be better positioned not just for 2026, but for whatever comes next!