TL;DR: Crypto-based money laundering now extends beyond hiding on-chain proceeds and increasingly touches mixers, bridges, hops, and established laundering networks moving into cryptocurrency, according to Chainalysis. The governance challenge is no longer just tracing assets, but linking blockchain intelligence to AML workflows that can follow crime across on-chain and off-chain activity.
NHIMG editorial — based on content published by Chainalysis: The Chainalysis Money Laundering and Cryptocurrency Report
Questions worth separating out
Q: How should AML teams investigate crypto transactions that use mixers and bridges?
A: Start by treating mixers and bridges as provenance-disrupting services rather than final conclusions.
Q: Why do crypto laundering cases need identity verification as well as chain analytics?
A: Chain analytics shows movement, but identity verification shows who is likely operating the accounts behind that movement.
Q: What do investigators get wrong about tracing illicit crypto flows?
A: A common mistake is assuming that visibility on-chain automatically equals attribution.
Practitioner guidance
- Correlate blockchain and identity signals Join wallet analytics to KYC, account recovery, device, and session telemetry so investigators can connect transfer patterns to real operators and not just addresses.
- Prioritise high-risk transfer patterns Create review rules for mixers, bridges, and multi-hop flows so teams can triage transactions that deliberately fragment provenance across services.
- Link AML cases to access governance Ensure suspicious activity cases can surface the identities and service accounts tied to high-risk movement, including delegate access and privileged workflows.
What's in the full report
Chainalysis' full report covers the operational detail this post intentionally leaves for the source:
- Deep breakdown of mixer, bridge, and hop typologies used in crypto-native laundering.
- Investigation methods for tracing multi-step flows across chains and intermediary services.
- Policy and compliance analysis for AML teams building blockchain-enabled case workflows.
- Practical examples of how established laundering networks adapt their tradecraft to crypto.
👉 Read Chainalysis' report on cryptocurrency money laundering and AML investigation trends →
Crypto money laundering and AML: what investigators need to act on?
Explore further
Crypto laundering is now an identity problem as much as a tracing problem. The article shows that laundering paths are no longer limited to purely technical obscuration on-chain. Once illicit networks use exchanges, mule accounts, or intermediary onboarding, the control question shifts to who is allowed to move value and how that identity is verified. For AML and fraud teams, the boundary between wallet risk and identity risk is collapsing.
A question worth separating out:
Q: Which controls help when laundering activity crosses from crypto into traditional finance?
A: Use integrated monitoring across KYC, sanctions, transaction screening, and account behaviour, then preserve evidence for SAR or equivalent reporting. Cross-domain laundering often fails at the seams between systems, so the most effective control is coordinated investigation rather than isolated alert handling.
👉 Read our full editorial: Crypto money laundering is broadening beyond on-chain concealment