All sectors

Sector assessment

Crypto and Digital Assets

20 laundering methods apply to this sector. 13 are rarely covered in standard AML training. The sector assessment uses 7 cases.

The ledger is permanent, so the exposure sits at the edges: on-ramp, off-ramp and identity.

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Typologies for you
20
Assessed
20
Rarely trained
13
Aimed at
MLRO, Head of Compliance, Blockchain Analytics Lead

The control gap we probe

Teams are strong on chain analysis and weak on documentary scepticism. An analyst who can trace a peel chain across four hops may still accept an onboarding pack that was generated rather than issued.

Supervisory context

Sanctions designations of mixing services, FCA registration enforcement including action against unregistered ATM operators, and the Travel Rule have all moved the compliance burden onto the identity layer.

Who this is for

Cryptoasset exchange providers and custodian wallet providers must be registered with the FCA under the Money Laundering Regulations. Carrying on that activity without registration is a criminal offence in its own right, which the FCA has now prosecuted, so the scope question here has a custodial answer rather than a supervisory one.

The Crypto and VASPs Assessment

Not one case. Every case that exercises a typology on your list is part of your mark, weighted by how much of your exposure it carries. The weights are derived from the register rather than chosen, so adding a case re-derives them instead of leaving the old ones wrong.

Cases in your assessment
7
Time to sit all of them
56 min
Typologies covered
20
Left uncovered
0
CaseYour typologiesShare of your mark
The Exchange Deskwritten for your desk624%
The Verification Desk624%
The Victim Ledger520%
The Betting Account416%
The Incoming Payment28%
The Fundraising Appeal14%
The Payment Trail14%

What you get for the price

£99one payment, 12 months, nothing renews

  • All 7 cases in your sector assessment, about 56 minutes, plus every other case on the site
  • Your mark for the Crypto and VASPs Assessment, and a full debrief on every case naming each finding and its source
  • A certificate recording exact CPD hours, publicly verifiable
  • Re-sit any case as often as you like for 12 months

£750pilot, up to 25 people, invoiced

  • Your whole team sits the Crypto and VASPs Assessment, not a single case
  • A gap report naming which of your 20 typologies the team detected and which they missed, with detection rates
  • Every participant gets their own full debrief
  • Deducted from a licence if you take one within 90 days
See an example gap report for Crypto and VASPs

No VAT is charged. Team licences and seat counts.

The 20 typologies that apply to this sector

Drawn from the full register and filtered to this sector. Each entry states what the typology looks like inside your own systems, and names the source it came from. 20 of the 20 are currently exercised by an assessment case; the rest are documented here and not yet built into one.

Placement and collection2

Control Probing and Detection-Threshold Discovery

In the assessment

Small test transactions are run to establish where a firm's rules and thresholds sit, and activity is then shaped to stay just inside them. Automation makes the probing cheap and the adaptation continuous.

What the analyst sees

Sequences of small value-varying transactions preceding a step change in volume, activity that settles just below alerting thresholds across several distinct rules at once, and customers whose behaviour changes within days of a rule being retuned.

Child Sexual Exploitation Payment PatternsRarely covered in training

In the assessment

Access to abuse material or live-streamed abuse is bought through small, repeated payments, frequently to high-risk jurisdictions and increasingly through virtual assets and prepaid instruments.

What the analyst sees

Small repeated payments, often at unusual hours, to money transfer beneficiaries in a small number of jurisdictions with no family or trade connection to the customer; use of prepaid instruments or virtual assets by a customer with no other digital activity; and payment values clustered in narrow bands.

Corporate and identity3

Synthetic and AI-Generated Onboarding DocumentsRarely covered in training

In the assessment

Statements, identity documents and supporting evidence are generated rather than obtained, and are internally consistent in ways genuine documents are not.

What the analyst sees

Statements with no fees or charges across months, running balances consistent to the penny, logos at incorrect aspect ratio, institution codes in the wrong format, identity photographs internally inconsistent or inconsistent with stated age, third-party webcam plugins during liveness checks.

Biometric Injection and Liveness BypassRarely covered in training

In the assessment

Rather than holding a fake face up to the camera, the attacker bypasses the camera entirely: virtual-camera software injects a pre-rendered or real-time face-swapped video stream directly into the onboarding app, so the liveness check is validating a video file rather than a person.

What the analyst sees

Emulator and virtual-camera artefacts in the capture stream, device and app-integrity signals that contradict a genuine handset, repeated onboarding attempts from the same device fingerprint under different identities, and capture metadata inconsistent with the phone the customer claims to hold.

Synthetic Identities at ScaleRarely covered in training

In the assessment

A person who does not exist is assembled from a mixture of real and fabricated data, passed through onboarding, allowed to build a credit and transaction history, and then used as durable laundering infrastructure rather than for a single fraud.

What the analyst sees

Thin-file customers who behave impeccably for months, clusters sharing partial attributes such as address, device or contact details, credit files that begin abruptly in adulthood, and accounts whose only real purpose emerges long after onboarding.

Digital assets11

Agentic Laundering and Automated SmurfingRarely covered in training

In the assessment

An autonomous agent executes the layering stage without a human in the loop: fragmenting funds into micro-transactions, selecting bridge and exchange routes on live liquidity, sizing transfers to stay inside observed thresholds, and adapting when a route stops working.

What the analyst sees

Transaction sequences with machine timing and sizing characteristics, activity that reshapes itself shortly after a control is changed, and volumes of small movements that exceed what any manual operation could sustain.

Chain-Hopping Across Bridges and SwapsRarely covered in training

In the assessment

Assets are swapped rapidly across blockchains and between tokens using bridges and decentralised exchanges, so that following the trail requires a new tool, a new dataset and a new analyst judgment at every hop.

What the analyst sees

For a VASP: deposits whose immediate provenance is a bridge or DEX contract rather than an identifiable counterparty, and short holding times between receipt and onward swap. For a bank: fiat settlement from an exchange whose own inbound provenance cannot be evidenced.

Stablecoin Settlement InfrastructureRarely covered in training

In the assessment

Dollar-denominated stablecoins, predominantly on low-fee chains, have become the settlement layer between criminal enterprises, replacing correspondent banking for cross-border criminal value transfer.

What the analyst sees

Fiat on-ramp and off-ramp volumes at exchanges and OTC desks, and customers whose banked income disappears while spending continues. The settlement itself never touches the banking system.

Guarantee Marketplaces and Criminal Service PlatformsRarely covered in training

In the assessment

Escrow-style online marketplaces broker laundering, stolen data, scam infrastructure and trafficking services between criminal counterparties, holding funds until both sides perform.

What the analyst sees

Exposure is indirect and sits at the fiat edges: payment institutions, exchanges and correspondent relationships with entities in the group's network. The prohibition itself is the compliance obligation.

Investment and Romance Scam Proceeds Infrastructure

In the assessment

Long-form investment and relationship frauds, frequently run from trafficked-labour compounds, collect victim funds through mule accounts and convert them into stablecoins for onward settlement.

What the analyst sees

Victim-side outbound payments escalating over weeks to newly added payees and exchange accounts, followed by indemnity claims and recall requests once the victim realises. The collection accounts show inbound from many unconnected individuals.

Mixers, Tumblers and Privacy Coins

In the assessment

Funds are pooled and redistributed by a mixing service, or swapped into a privacy coin whose ledger does not expose amounts or counterparties, breaking deterministic tracing.

What the analyst sees

For a VASP: deposits with mixer-adjacent provenance, or swap history through privacy assets. For a bank: exposure arrives already laundered, at the off-ramp.

Ransomware Proceeds Conversion

In the assessment

Extortion payments received in bitcoin are converted rapidly into stablecoins or swapped through decentralised protocols, often within hours, before distribution to affiliates.

What the analyst sees

Victim-side: an urgent, unexplained payment to an exchange or a specialist incident-response intermediary. Insurer and IR-firm accounts are a concentration point.

Crypto ATMs and OTC Brokers

In the assessment

Cash is converted to crypto through machines or over-the-counter brokers who accept cash and settle on-chain, providing a placement route that bypasses bank deposit controls entirely.

What the analyst sees

ATM operator and OTC broker settlement accounts with cash deposit volumes inconsistent with a retail customer base, and customers whose card spending continues after banked income stops.

Nested Exchange Access and Sub-AccountsRarely covered in training

In the assessment

An unregistered or high-risk service obtains market access through an account at a compliant exchange, so the compliant firm's customer is in reality a downstream book of unknown customers.

What the analyst sees

A single institutional customer whose deposit and withdrawal counterparties number in the thousands, activity patterns inconsistent with a single beneficial owner, and onward flows to jurisdictions the customer does not operate in.

Unhosted Wallets and Fragmented Off-Ramping

In the assessment

Value is held in self-custody between hops and cashed out in many small amounts across multiple venues and individuals, so no single off-ramp sees an amount worth investigating.

What the analyst sees

Numerous customers each receiving modest, regular exchange settlements with no other economic profile, sharing device, address or beneficiary characteristics.

NFT and In-Game Asset Wash Trading

In the assessment

A digital asset with no objective value is traded between wallets under common control at escalating prices, manufacturing a sale record that converts funds into apparent trading profit.

What the analyst sees

Marketplace settlement receipts where buyer and seller are ultimately the same interest, and gaming or marketplace platform accounts with volumes unrelated to any player base.

Professional and market2

Laundering and Fraud as a ServiceRarely covered in training

In the assessment

Capability is rented rather than built. Subscription platforms supply mule account provisioning, KYC-bypass tooling, synthetic identity generation, deepfake kits and end-to-end laundering, so an operator needs money rather than skill.

What the analyst sees

The same tooling signature across customers with no other connection: identical document templates, shared device or capture characteristics, and mule accounts appearing in coordinated batches rather than individually.

Terrorist Financing: small-value and fundraisingRarely covered in training

In the assessment

Funding is raised in small amounts through appeals, crowdfunding and sham charitable structures, and moved in values individually too low to trigger monitoring. The concern is destination and intent rather than the size or origin of the funds.

What the analyst sees

Small recurring outbound payments to campaigns, appeals or virtual asset addresses associated with proscribed causes; a charity whose disbursement pattern does not match its stated programme; and clusters of small transfers converging on a single beneficiary.

Sanctions and state actors2

State-Actor Cyber Theft and LaunderingRarely covered in training

In the assessment

State-sponsored groups steal digital assets at scale from exchanges and protocols, then launder them through mixers, cross-chain bridges and complicit over-the-counter brokers to fund state programmes.

What the analyst sees

For VASPs: deposits traceable to designated addresses, and institutional counterparties who cannot evidence their own inbound provenance. For banks: correspondent exposure to intermediaries in the cash-out chain.

State-Sponsored IT Worker Payroll InfiltrationRarely covered in training

In the assessment

Operatives obtain remote technical roles using stolen or fabricated identities, often through intermediaries, and route salary payments onward to sanctioned regimes.

What the analyst sees

Payroll and contractor payments to accounts whose device and location signals contradict the stated worker location, several apparently unrelated contractors sharing payment infrastructure, and rapid onward transfer of net pay.

Sit your own sector's case before you commit a team to it

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