The title of Tuesday’s House Financial Services Oversight and Investigations Subcommittee hearing pointed toward Chinese money laundering networks and cartel financing.
But witness testimony and the back and forth with lawmakers centered on a challenge that reaches far beyond any single criminal organization: whether banks, FinTechs and law enforcement agencies can still effectively follow the movement of money through an increasingly complex financial system.
Witnesses described a landscape in which criminal proceeds move through shell companies, real estate transactions, digital channels, trade networks and informal value-transfer systems that often leave only fragments of a trail. Lawmakers repeatedly returned to questions of ownership, transparency and whether current anti-money laundering tools remain suited to the way money moves today.
Following the Funds
Several witnesses argued that financial crime has become harder to detect because value increasingly moves through networks rather than straightforward account-to-account transfers.
John Cassara, a veteran anti-money laundering investigator and former Treasury official, delivered a sharp assessment of the current system.
“To be caught and convicted for money laundering in the United States, a criminal has to be really, really stupid or really, really unlucky,” Cassara told lawmakers. He argued that existing anti-money laundering frameworks have struggled to keep pace with criminal organizations that use mirror transactions, trade-based money laundering and other mechanisms that transfer value without creating traditional payment trails.
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Liana Rosen, a specialist in international sanctions and financial crimes at the Congressional Research Service, outlined the variety of channels used by money laundering networks. Her testimony described underground banking systems, trade-based money laundering, cryptocurrencies, money mules, shell companies and real estate purchases as among the methods used to obscure illicit proceeds.
The practical implication for financial institutions emerged during Tuesday morning’s discussions: detecting suspicious transactions remains important, but understanding how those transactions connect across multiple entities is becoming increasingly necessary.
The Ownership Question
Some of the hearing’s most substantive exchanges focused on beneficial ownership.
Rep. Nikema Williams (D-Ga.) raised concerns about the impact of shell-company ownership on communities and asked what neighborhoods lose when property is owned through opaque structures and “no one can even find who’s responsible for the ownership.”
Cassara’s answer was direct.
“The one missing link that law enforcement needs is beneficial ownership information,” he said. “That’s the one missing piece that we need.”
Williams then asked Rosen how ownership reporting requirements could improve investigators’ ability to trace illicit funds moving through real estate. Rosen pointed to centralized ownership databases as tools that can help law enforcement connect assets and transactions to the individuals who ultimately control them.
For banks and FinTechs, that issue sits at the center of customer due diligence and Know Your Customer obligations.
Criminal Networks See Across Institutions
Another theme emerged during discussions about the limits of transaction monitoring.
Rep. Barry Loudermilk (R-Ga.) asked Rosen whether Chinese money laundering networks were exploiting sectors outside traditional banking, including real estate and money services businesses.
“Yes, all of the above have been involved in Chinese money laundering networks,” Rosen replied. She later noted that Treasury assessments have found these networks continue to “adapt and evolve to avoid law enforcement detection.”
Louis DeTitto, CEO of MissionLytics, whose testimony focused on network intelligence and financial crime investigations, argued that criminals frequently possess a broader view of financial activity than the institutions attempting to stop them.
“The core difficulty in disrupting these networks lies in institutional fragmentation,” DeTitto noted in his testimony. Banks, regulators, law enforcement agencies and intelligence organizations often see only pieces of a larger network, he argued, allowing criminal organizations to exploit gaps between institutions and jurisdictions.
Rather than relying solely on transaction alerts, DeTitto urged greater use of network-level analysis that identifies relationships across accounts, entities and jurisdictions. He also advocated broader information sharing and analytical tools capable of identifying patterns that would otherwise remain hidden.
Technology Moves to the Forefront
The hearing also examined whether technology could help close those visibility gaps.
Leland Lazarus, founder and CEO of Lazarus Consulting, cited Treasury findings showing that suspected Chinese money laundering network activity was associated with 137,153 Bank Secrecy Act reports totaling approximately $312 billion in suspicious activity between 2020 and 2024.
Lazarus argued that investigators should identify “network hubs rather than just isolated transactions” by combining suspicious activity reports, beneficial ownership records, sanctions information, customs data and law-enforcement intelligence.
That approach mirrors a broader shift occurring across financial services. According to PYMNTS Intelligence’s “2025 State of Fraud and Financial Crime in the United States,” 68% of financial institutions increased fraud-detection spending, while AI and behavioral analytics have become increasingly important components of fraud-prevention strategies. The report also found that unauthorized-party fraud now accounts for 71% of fraud incidents and losses.
A Read Across for Banks and FinTechs
Although the hearing focused on cartel financing and Chinese money laundering networks, the testimony repeatedly returned to questions that extend across the payments ecosystem.
Rosen emphasized the growing variety of channels used to move illicit funds. Cassara focused on ownership transparency and the shortcomings of current anti-money laundering frameworks. DeTitto argued for network-level intelligence capable of connecting fragmented information. Lazarus pointed to AI-driven systems designed to identify relationships hidden within large volumes of data.
Taken together, their testimony and the observations of lawmakers suggested that the next phase of anti-money laundering efforts will hinge on how value moves across networks and where seemingly unrelated activities converge within the broader financial system.
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