Anti-Money Laundering
AML (Anti-Money Laundering) refers to the set of laws, regulations, and procedures designed to prevent criminals from disguising illegally obtained funds as legitimate income. AML frameworks require regulated businesses to detect and report suspicious financial activities.
Anti-money laundering efforts are built on an international regulatory framework coordinated by the FATF (Financial Action Task Force) and implemented at the European level through successive anti-money laundering directives, the latest being AMLD6. In the United States, AML is primarily governed by the Bank Secrecy Act and the USA PATRIOT Act, with enforcement by FinCEN.
AML obligations include identifying and verifying customer identities (KYC), continuously monitoring transactions, assessing money laundering risks, and filing suspicious activity reports (SARs) with financial intelligence units. Regulated entities must also establish internal training programmes and appoint a compliance officer.
Technological advances have significantly strengthened AML capabilities. Artificial intelligence now enables the detection of complex transaction patterns, the analysis of massive data volumes in real time, and the automation of document verification. CheckFile.ai contributes to the AML framework by ensuring the authenticity of documents provided during identification procedures.
Regulations
Real-world examples
- 1.A bank detects a series of fragmented transfers just below the reporting threshold and triggers an AML alert for potential structuring.
- 2.A payment institution refuses to execute an international transfer to a high-risk country after its AML system identifies inconsistencies in the client's profile.
- 3.A law firm files a suspicious activity report after identifying unusual financial flows during a real estate transaction.