Skip to content

AML for VASPs: travel rule, on-chain analytics, and red flags

VASP کے لیے AML: ٹریول رول، آن چین تجزیہ، اور سرخ جھنڈے

36 min read

Three ways to see it

  1. AML for VASPs is built on the same three pillars as bank AML: customer due diligence, transaction monitoring, and suspicious transaction reporting. What changes is the data. Instead of just account numbers and counterparty names, you now have wallet addresses, blockchain transaction hashes, on-chain risk scores, and the FATF travel rule data field. The Pakistan FMU expects STRs filed by VASPs and by their banking partners to use a common vocabulary that maps these new fields to its existing schema. Your bank's AML system must be configured to ingest, store, and search on these fields, not treat them as free-text notes.

  2. The travel rule is the single most consequential FATF requirement for VASPs. When a VASP transfers virtual assets above a threshold (USD 1,000 in the FATF standard, lower in some jurisdictions) to another VASP, both must exchange identifying information about the originator and the beneficiary: full name, account or wallet, and a verified identifier. The data travels with the transfer, not behind it. Pakistan's PVARA framework adopts the threshold at PKR 250,000 equivalent. Banks should require their VASP customers to evidence travel rule compliance for the cross-border legs of inbound and outbound traffic. A VASP that cannot show its travel rule data flow is a VASP whose business model is incompatible with PVARA, and the bank should treat that as a relationship-ending finding.

  3. On-chain analytics is what makes VASP AML possible at all. Tools like Chainalysis, Elliptic, TRM Labs, and Crystal maintain massive databases of wallet addresses tagged by category: known exchange, sanctioned entity, mixer, ransomware payment, darknet market, scam, terrorist financing, and many more. When the VASP screens an inbound transfer, the tool returns a risk score and the most damning tag in the chain. A wallet two hops from a sanctioned address is a different conversation from one ten hops away. Your bank does not need to license these tools directly, but it must require its VASP customers to license one and to share the alerts and dispositions on a regular cadence.

Quick check

Quick check: what makes modern AI different from a rule-based program?

The why-tree

Why-tree level one: why do VASPs require richer AML data than traditional banks? Because virtual asset value moves through pseudonymous addresses across borders in seconds. The traditional 'who, where, when, how much' is incomplete. You also need 'which wallet, what risk score, which mixer, which sanctioned cluster'. The data shape changes the AML answer.

Try this with Claude

AI-edge prompt: 'You are an FMU-aware AML investigator. Given the following facts (paste the 380,000 USDT case), draft a complete STR narrative including baseline, alerting events, on-chain trace summary, customer interview notes, and conclusion. Then list the three weaknesses in my evidence the FMU is most likely to challenge me on.' Read the answer adversarially.

Sources

Sources and further reading. AML Act 2010 (Pakistan) and AML Rules 2008. SBP AML/CFT Regulations 2020. FMU STR filing guidelines and sector-specific typologies. FATF Recommendation 16 (the travel rule) and Updated Guidance for VASPs (2021). FATF jurisdiction lists (current). Chainalysis Crypto Crime Report. TRM Labs Illicit Finance Report. Elliptic Typologies Reports. ACAMS CAMS Study Guide chapters on virtual assets.