In August 2026, FinCEN released a Financial Trend Analysis (FTA) on suspected human smuggling activity. The analysis reviewed 67,540 Bank Secrecy Act (BSA) reports filed between 1 January 2023 and 31 December 2025, representing more than $4.9 billion in suspicious activity.
The value of the analysis is not simply the volume of reporting but also what the reporting helps reveal. FinCEN’s review of BSA data identified consistent indicators and commonalities across suspected human smuggling-related activity, including unverifiable relationships between originators and beneficiaries, transactions tied to common migration routes, and cash activity along the southwest border. Viewed together, the reporting shows that suspected human smuggling activity is often revealed through patterns in the data.
The numbers show two important realities. First, suspected human smuggling activity is moving through the financial system at scale. Second, no single part of the financial system sees the full picture. MSBs filed 97 percent of the reports, reflecting the visibility they have into high-volume remittance activity. Depository institutions filed only 3 percent of reports, but accounted for 61 percent of the suspicious activity value, approximately $3 billion. That contrast matters. Volume and value reveal different parts of the network.
Human Smuggling Red Flags: The Typologies FinCEN Identified
While the numbers provide the scale, the indicators provide the investigative direction. The real value comes when those indicators are connected across customers, counterparties, geography, timing, and account behavior.
FinCEN’s indicators matter because they point to relationships. Individually, these transactions may look explainable but together, they can reveal coordination: who is sending funds, who is receiving them, where the money is moving, and whether activity is consistent with legitimate customer behavior.
Financial institutions strengthen that view by placing these indicators in context across customer profiles, transaction history, geography, counterparties, and account relationships.
| Red Flag Indicator | BSA Reports | % of MSB Filings |
|---|---|---|
| No verifiable familial connection between originator and beneficiary | 38,683 | 57% |
| Money flows did not follow typical transaction patterns | 26,614 | 39% |
| Funds sent to geographic locations outside customer’s usual pattern | 15,706 | 23% |
| Structuring transactions to avoid record-keeping requirements | 7,477 | 11% |
| One originator sent money to many beneficiaries | 3,169 | 5% |
| Many originators sent money to one beneficiary | 829 | 1% |
One-to-many and many-to-one patterns are especially important because they bring the network into focus. They may point to a coordinator collecting funds from multiple people, one funder supporting several beneficiaries along a route, or a broader structure moving money through seemingly unrelated transactions. The red flag is not always an individual transaction. Often, the red flag is the relationship between transactions.
What do Red Flag Indicators Mean for Financial Institutions?
For financial institutions, the takeaway is not that one transaction channel has better visibility than another. It is that each channel sees a different part of the network.
MSBs may see high-volume remittance activity. Banks and credit unions may see account relationships, higher-value movement, funnel activity, structuring, cash withdrawal patterns, and customer behavior over time. Neither view is complete on its own.
Those views need to be brought together. When institutions combine transaction activity with customer context, geography, counterparties, account behavior, and peer intelligence, they move from seeing isolated activity to understanding how the network operates.
Why Network-based Crime Requires Shared Intelligence
Human smuggling activity does not move through one account, one customer, or one institution. It moves through relationships: senders, beneficiaries, facilitators, funnel accounts, geographies, and payment channels. Any one transaction may look ordinary, however the pattern does not.
FinCEN’s example makes the point: one account received more than 500 suspicious transactions totaling approximately $68,000 from over 30 different senders, with funds moved to savings before structured cash withdrawals below reporting thresholds. No single transaction in that sequence tells the full story, but the network does.
That is why information sharing matters. Financial institutions, law enforcement, and public-sector partners each hold part of the view. When those views are brought together, investigators can see patterns that may otherwise remain fragmented across accounts, institutions, jurisdictions, and agencies. Shared intelligence gives investigators a fuller view. It also matters because the same criminal infrastructure can support more than one form of illicit activity.
When Criminal Infrastructure Crosses Typologies
Human smuggling is not an isolated typology. It is one revenue stream inside a broader criminal ecosystem. FinCEN’s analysis shows that human smuggling can intersect with human trafficking, drug trafficking, and other forms of other criminal activity. Depository institutions were more likely to reference both human smuggling and human trafficking in the same filing, while MSB filings typically referenced smuggling alone. That difference matters because it suggests that different institutions may be seeing different parts of the same infrastructure.
The broader convergence is consistent with Nasdaq Verafin’s 2026 Global Financial Crime Report, which found that human trafficking operations were linked to more than $500 billion in estimated illicit money movement globally in 2025. These proceeds do not move through the financial system in neat typology categories. They move through overlapping networks, shared facilitators, transportation routes, account relationships, payment channels, and criminal infrastructure.
If detection remains siloed by typology, institutions risk seeing fragments of the activity while missing the network behind it. Institutions should view human smuggling alongside broader financial crime intelligence so investigators can understand how the criminal infrastructure operates.
How Network Intelligence Strengthens Investigations
Detection is the starting point. Disruption is the objective. Shared intelligence and advanced analytics help investigators move from isolated activity to a fuller understanding of how criminal infrastructure operates. Consortium intelligence can surface patterns across accounts, entities, institutions, and typologies. Human judgment remains essential to interpret those patterns, assess the risk, and decide what action to take.
FinCEN’s typologies are specific enough to operationalize. The value is not only in identifying suspicious activity, but in producing context-rich intelligence that law enforcement can use to link activity across actors, accounts, institutions, and criminal networks. Effective detection should help investigators understand the activity, explain the network, and provide valuable information to law enforcement.
Conclusion
The financial system is not only a channel these networks exploit – it is also one of the strongest tools available to expose them. FinCEN’s analysis reinforces what financial institutions already know from the data they see every day: human smuggling leaves signals. Every transaction adds to a story, every account relationship adds context, and every pattern can help bring a criminal network into focus. While those signals may appear across transactions, accounts, customers, geographies, counterparties, and institutions, when viewed together, they can reveal the network.
Behind those signals are people and communities harmed by the criminal networks manipulating the financial system. Financial institutions have the data, the investigative expertise and increasingly, they have the technology and peer intelligence to connect activity at scale. When applied with focus, these private-sector capabilities can produce intelligence that serves a broader public-good mission. The responsibility now is to use those capabilities to move beyond isolated detection and support meaningful financial crime disruption.
FAQs
What is FinCEN’s human smuggling report?
FinCEN’s Financial Trend Analysis (FTA) on human smuggling, published in August 2026, analyzes 67,540 Bank Secrecy Act (BSA) reports linked to suspected human smuggling filed between January 2023 and December 2025, totaling more than $4.9 billion in suspicious activity. The report identifies common financial typologies, red flag indicators, and geographic patterns to help financial institutions detect and report human smuggling-related activity.
What are the most common red flags for human smuggling in financial transactions?
According to FinCEN’s report, the most common red flags include no verifiable familial connection between sender and beneficiary (57% of MSB filings), money flows that don’t follow typical transaction patterns (39%), funds sent to locations outside the customer’s usual geographic pattern (23%), structuring transactions to avoid recordkeeping requirements (11%), and one-to-many or many-to-one transaction patterns (5% and 1% respectively).
How are human smuggling and human trafficking connected in financial crime?
FinCEN’s report notes that human smuggling and human trafficking share overlapping financial typologies and are often referenced together in BSA reports. Depository institutions were more likely to mention both crimes in the same filing, while MSB filings typically mentioned only smuggling. The same transnational criminal organizations that profit from smuggling also dominate drug trafficking and other illicit activities.
How can financial institutions improve detection of human smuggling?
Financial institutions can improve detection by moving beyond traditional threshold-based transaction monitoring toward network-based detection that examines relationships between accounts, customers, and entities. Consortium intelligence allows institutions to identify cross-institutional activity, and machine learning and behavior-based analytics can surface patterns that rules-based monitoring misses. FinCEN’s report provides specific, documented typologies that AML teams can operationalize.
About the Author
Cheryl Friedenbach
Associate Vice President, Product Strategy
As Associate Vice President of Product Strategy, Cheryl Friedenbach spearheads Nasdaq Verafin’s product direction, ensuring AML solutions align with regulatory expectations and financial crime challenges facing financial institutions. She brings over 20 years of experience from her tenure as BSA/AML Officer at First National Bank of Omaha, spanning AML, OFAC, and predicate crime investigations into fraud, human trafficking, and drug trafficking.
