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HKAMLHong Kong Anti-Money Laundering Alliance
HKAML / PUBLICATIONS

An introduction to HKAML

The institutional introduction published in September 2025, documenting research, capacity-building and cooperation themes at that time.

InstitutionalSource: HKAML WeChat publication

Original article (Chinese)

Alliance registration information

HKAML was registered by the Hong Kong Police Force on 27 June 2025 under section 5A(1) of the Societies Ordinance, Chapter 151 of the Laws of Hong Kong, as a legally established nonprofit association (NGO).

Positioning

Based in Hong Kong, the Alliance brings together government, legislative, regulatory, financial, technology and academic expertise on a public-interest platform for AML/CFT research, cooperation and capacity building.

Photo: Principal participants at the Alliance's first Legislative Council event

Mission

To support law-enforcement, legislative and regulatory bodies through policy research, professional support and compliance technology applications, strengthening Hong Kong's position as an international financial centre.

Research and governance: rules and consensus

Develop institutional and methodological frameworks supporting industry compliance and public oversight.

A1. Policy research and standards

Scope: alignment of FATF and local requirements, industry self-regulation, operating guidance, and methodologies for sanctions and Travel Rule databases. Audience: public policy researchers, financial-institution compliance officers and industry associations. Cooperation: policy reports, standards proposals, white papers, compliance toolkits and explanatory events.

A2. Cooperation and information sharing: public education

Scope: working-level communication, seminars and roundtables, public education and risk notices. Audience: enforcement and regulatory bodies, industry, media and public-interest organisations. Cooperation: quarterly risk bulletins, forums, joint research and information-sharing arrangements.

Support services: capabilities and methods

Strengthen institutional compliance through non-enforcement activities such as assessment, training and consultation.

B1. Technology assessment and demonstrations

Scope: testing and demonstrations of KYC/KYB, blockchain analytics, transaction monitoring and Travel Rule technology; sandbox and pilot coordination methods. Audience: banks, payment providers, virtual asset platforms and technology firms. Cooperation: assessment reports, pilot plans, best-practice lists and sandbox application guidance, without exercising approval authority.

B2. Professional training and certification

Scope: legal and regulatory frameworks, CDD/KYC, suspicious transaction identification and reporting, data protection, internal training and qualifications. Audience: finance, technology and NGO practitioners, legal and risk teams. Cooperation: public courses and examinations, tailored training and annual continuing education.

B3. Case support and risk alerts: methodological advice

Scope: analytical methods for cross-border virtual asset cases, tracing design, evidence-recording procedures, compliance views and alerts on high-risk regions or patterns. Audience: enforcement and regulatory bodies within their authorisation, and compliance and internal-control teams. Cooperation: methodological recommendations, risk briefs and alerts. Boundaries: no direct enforcement, approvals, asset disposal or judicial decisions.

Infrastructure and applications: scenarios and platforms

Use standardised foundations and demonstrations to support scalable, verifiable compliance practice.

C1. Alliance-certified wallets and settlement cooperation

Scope: compliance and mutual-recognition frameworks, compatibility assessments and coordination for member wallet and settlement solutions, and verification of cross-border clearing and settlement compliance capabilities. Audience: trading companies, payment providers and virtual asset service providers. Cooperation: certification specifications, assessment summaries and integration lists. Boundaries: standards, assessment and coordination only; no trading, custody of client funds or investment advice.

C2. AI models and joint training platforms / intelligent risk management

Intelligent risk management

Scope: federated learning and anonymous data sharing, pretrained AML models for anomalies and group detection, model marketplaces, and monitoring–alert–review–record workflows. Audience: banks, virtual asset platforms and risk/data science teams. Cooperation: model assessment and deployment guidance, data contribution and feedback mechanisms, and joint modelling pilots.

C3. Trade compliance and documentation: aligning three flows

Scope: checking consistency between fund, goods and document flows; integrating IoT/GPS, electronic contracts and on-chain evidence;

Testing and refining rules engines for sanctions and sensitive goods.

Audience: supply-chain finance, international trade and cross-border e-commerce, and bank trade-finance teams.

Cooperation: scenario assessments, risk-rule packages, integration and acceptance checklists.

C4. Web3 security and bug-bounty ecosystems

Scope: graded vulnerability bounties, smart-contract audits and formal verification, and project compliance review methodologies and sample libraries. Audience: blockchain networks and applications, security firms, white-hat communities, exchanges and custodians. Cooperation: security audits, vulnerability response and review processes, and ecosystem cooperation agreements.

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