Skip to content

Anti-Money Laundering (AML)

Definition

AML (Anti-Money Laundering) refers to the set of laws, regulations, procedures, and technologies designed to prevent criminals from disguising illegally obtained money as legitimate income. KYC/eKYC is the first line of defense in the AML framework.

The Three Stages of Money Laundering

graph LR
    A["1. Placement<br/>Introduce dirty money<br/>into financial system"] --> B["2. Layering<br/>Move money through<br/>complex transactions"]
    B --> C["3. Integration<br/>Money appears<br/>legitimate"]

    A --> A1[Cash deposits, smurfing,<br/>currency exchange]
    B --> B1[Wire transfers, shell companies,<br/>trade-based laundering]
    C --> C1[Real estate, luxury goods,<br/>business investment]

    style A fill:#e53935,color:#fff
    style B fill:#F57F17,color:#000
    style C fill:#2E7D32,color:#fff

AML Framework Components

graph TD
    AML[AML Program] --> A[KYC/CDD<br/>Customer identification & verification]
    AML --> B[Transaction Monitoring<br/>Detect suspicious patterns]
    AML --> C[Sanctions Screening<br/>Check against prohibited lists]
    AML --> D[SAR Filing<br/>Report suspicious activity]
    AML --> E[Record Keeping<br/>Maintain audit trail]
    AML --> F[Training<br/>Staff awareness]
    AML --> G[Independent Audit<br/>Regular program review]
    AML --> H[MLRO/CCO<br/>Designated compliance officer]

    style AML fill:#4051B5,color:#fff

How eKYC Supports AML

AML Component eKYC Role
Customer identification Document verification, biometric matching
Risk assessment Automated risk scoring based on customer attributes
Sanctions screening Real-time API checks against global sanctions lists
PEP identification Automated screening against PEP databases
Adverse media NLP-powered negative news scanning
Ongoing monitoring Transaction pattern analysis
Deduplication Face-based 1:N search to prevent multiple accounts
Record keeping Digital audit trail with images, scores, timestamps

Global AML Regulatory Landscape

Jurisdiction Primary Law Supervisory Authority Key Feature
Global FATF 40 Recommendations FATF International standard-setter
USA Bank Secrecy Act, PATRIOT Act FinCEN, OCC, Fed CTR/SAR filing system
EU AML Directives (6AMLD) + AMLR National FIUs + AMLA (from 2025) Risk-based, public UBO registers
UK MLR 2017, POCA 2002 FCA, NCA Suspicious Activity Reports
India PMLA 2002 FIU-IND, ED Aadhaar-enabled verification
Singapore CDSA, TSOFA MAS Risk-based, MyInfo integration

AML Penalties (Recent Major Fines)

Institution Year Fine Violation
BNP Paribas 2014 $8.9B Sanctions violations
Danske Bank 2022 $2.0B €200B suspicious flow through Estonian branch
HSBC 2012 $1.9B Mexican cartel money laundering
Westpac 2020 $1.3B 23M AML/CTF breaches
Capital One 2021 $390M Willful BSA violations
Deutsche Bank 2023 $186M AML control failures

Key Takeaways

Summary

  • AML is the overarching framework — KYC/eKYC is a critical component within it
  • Money laundering happens in three stages: placement, layering, integration
  • An AML program includes: KYC, transaction monitoring, sanctions screening, SAR filing, record keeping, training, and audit
  • eKYC automates and strengthens most AML components — identity verification, screening, risk scoring
  • AML fines run into billions of dollars — compliance is not optional
  • The trend is toward real-time, AI-powered AML replacing batch processing and manual review