Types of Money Laundering: Typologies Every Compliance Team Should Know
The main types of money laundering are structuring (smurfing), trade-based money laundering, shell company laundering, real estate laundering, casino and gambling laundering, cryptocurrency laundering, and the use of money mules. Each typology hides where illicit funds came from, just by a different route. And most schemes pass through the same three stages: placement, layering, and integration. For a compliance or fraud team, knowing how each method actually works is what separates catching a laundering pattern early from explaining it to a regulator after the fact.
This guide covers the typologies that matter to financial institutions, payment firms, and other regulated businesses, then shows where fraud prevention controls fit in.
The Three Stages of Money Laundering
Whatever the typology, almost every laundering scheme runs through three stages. Map them out and you can see where your controls actually intercept criminal funds.
Placement is the entry point, where illicit cash enters the financial system. For the launderer, it is often the riskiest stage. Large or unusual cash deposits are exactly what reporting thresholds and transaction monitoring are designed to catch. To get past it, criminals break deposits into smaller pieces, route them through cash-intensive businesses, or push them through under-regulated channels.
Layering moves funds through a deliberately complex web of transactions to break the audit trail. Wire transfers between jurisdictions, rapid buying and selling of assets, shell company invoicing: each one distances the money from its source. The goal is simple. Make tracing the funds back to the original crime as hard as possible.
Integration is the final stage. Now-obscured money re-enters the legitimate economy as apparently clean wealth. By this point the funds may look like business revenue, investment returns, or property sale proceeds, and separating them from genuine activity becomes very hard without strong transaction monitoring and clear visibility into customer behavior.
Structuring and Smurfing
Structuring, often called smurfing, splits large sums into many smaller transactions that each fall below a regulatory reporting threshold. Rather than one reportable deposit, a launderer makes dozens of smaller deposits across multiple accounts, branches, or even people. The intent is to slip beneath the radar of any rule that triggers on a single large transaction.
For compliance teams, the giveaway is rarely a single transaction. It is the pattern: many sub-threshold deposits clustered in time, spread across related accounts, or sitting suspiciously close to the reporting limit. Catching structuring depends on aggregating activity across accounts and watching behavior over time, not judging transactions one at a time.
Trade-Based Money Laundering
Trade-based money laundering, or TBML, hides illicit value inside the international trade system. Criminals over-invoice or under-invoice goods, misrepresent quantity or quality, or invoice for shipments that never actually move. Since the underlying transaction looks like ordinary cross-border commerce, the laundered value rides along with it from one jurisdiction to the next.
TBML is one of the hardest typologies to detect. A single scheme can span several parties, stacks of documents, and multiple legal systems, and legitimate businesses sometimes get pulled in without ever realizing it. Effective controls combine trade-document review, counterparty screening, and pricing analysis that flags figures inconsistent with market norms. Here, strong supplier and counterparty checks become a meaningful line of defense. For more on this typology, see our guide to trade-based money laundering.
Shell Companies
A shell company is a business that exists on paper with no real operations or assets. Launderers use shells to give illicit funds the appearance of legitimate commercial activity, passing money through layers of entities so the original source disappears behind corporate structures. Shells are common in jurisdictions with weak beneficial ownership transparency.
The defense is ownership clarity. Without knowing who ultimately controls and benefits from an entity, an institution cannot tell a real operating business from a laundering vehicle. Strong know your business verification, beneficial ownership discovery, and ongoing entity monitoring are what break this typology.
Real Estate Money Laundering
Real estate absorbs large amounts of illicit money in a single transaction, which makes it attractive to launderers. A criminal buys high-value property, often through a corporate vehicle or third party, then later resells it and converts dirty money into clean sale proceeds. Deals this size and this infrequent can mask the activity inside otherwise normal market behavior.
More and more, regulators expect real estate professionals, lawyers, and the financial institutions behind these deals to apply enhanced due diligence. That pressure climbs when buyers are foreign, pay from offshore accounts, or hide behind opaque ownership structures. What matters is understanding the source of funds and the real party behind the purchase.
Casinos and Gambling
Casinos and gambling operators handle large volumes of cash, which makes them a classic laundering channel. A common scheme: buy chips with illicit cash, gamble minimally, then cash out the remainder as apparent winnings. Online gambling widens the problem, letting launderers move funds anonymously across jurisdictions where tracing individual bets is difficult.
For operators here, the hard part is telling genuine play apart from value transfer dressed up as gambling. Strong customer onboarding, source-of-funds checks, and monitoring for buy-in and cash-out patterns that do not match real play are essential for any firm covered by gambling-sector AML obligations.
Cryptocurrency Laundering
Cryptocurrency introduces laundering methods that traditional controls were not built for. Criminals split funds across many wallets, run them through mixers and tumblers, move them onto privacy coins, or push them through decentralized finance protocols and peer-to-peer exchanges to obscure the trail. Funds are often cashed out through exchanges with weak compliance programs.
The countermeasures are blockchain analytics, wallet screening against known illicit addresses, and tying on-chain activity back to a verified real-world identity at the on-ramp and off-ramp. Firms with crypto exposure need monitoring that tracks funds across wallets and chains, rather than a one-time check at account opening.
Money Mules
Money mules are individuals, sometimes witting and sometimes deceived, who move illicit funds through their own accounts on behalf of criminals. Mule networks get used hard to layer funds in a hurry, especially in fraud-driven laundering, where stolen money from scams and account takeover has to be scattered before it can be frozen.
Watch for a few signals. Accounts that receive funds and pass them on almost immediately, sudden changes in account behavior, or clusters of accounts moving money in coordinated patterns. Catching it takes behavioral monitoring and fraud signals working alongside core AML controls, not off on their own.
Where Fraud Prevention Fits
Many modern laundering typologies begin with fraud. Stolen identities open mule accounts, account takeover feeds layering, and scam proceeds need fast dispersal before they can be traced. That overlap is exactly why money laundering and fraud increasingly have to be tackled together, not by separate teams running separate tools.
KYC Hub provides fraud prevention for digital financial services that helps institutions stop identity fraud at onboarding, detect transaction fraud in real time, and reduce chargebacks and losses across payments, trade finance, and gaming. Pulling together identity verification, behavioral monitoring, and transaction analysis, the platform helps you catch both the fraud that fuels laundering and the laundering patterns that follow, before illicit funds ever reach the integration stage.
