Measures to protect bank customers from authorized payment scams

十二 20, 2024
Latest News HKMA Measures to protect bank customers from authorized payment scams

On 20 Dec 2024, the HKMA issued guidance requiring AIs to implement a seven-point framework to combat authorized payment scams, including dynamic monitoring systems, prompt customer alerts, risk mitigation protocols, and enhanced intelligence sharing. AIs must adopt these measures by 30 June 2025 to address persistent high APS complaint volumes despite prior anti-fraud initiatives.

This article was generated using SAMS, an AI technology by Timothy Loh LLP.

Introduction

On 20 Dec 2024, the Hong Kong Monetary Authority (HKMA) issued guidance requiring Authorized Institutions (AIs) to implement comprehensive measures to prevent, detect, and disrupt authorized payment scams (APS), following rising scam incidents and persistent high complaint volumes despite prior anti-fraud initiatives.

Comprehensive APS Framework

The guidance mandates AIs to establish a robust framework with appropriate policies, procedures, and senior management oversight, ensuring adequate resourcing including staff trained on latest scam trends and typologies published by the HKPF and HKMA.

Dynamic APS Monitoring System

AIs must implement a monitoring system capable of identifying high-risk APS indicators by integrating customer risk profiles, banking behaviour, transaction data, latest scam typologies, and external intelligence from platforms like FMLIT.

Prompt Customer Alert Handling

Upon identifying high-risk situations, AIs must promptly alert customers, confirm transaction intent, probe transaction purpose (including beneficiary relationship), and assess explanations against customer profiles before proceeding.

Risk Mitigation Measures

Where customers proceed despite alerts or cannot be contacted, AIs should seek HKPF advice, consider temporary transaction holds, and provide accessible customer support channels. AIs must also assess HKPF involvement where scams are suspected.

Intelligence Sharing and Technology Adoption

AIs are required to share suspicious account information via FINEST and FMLIT, exchange strategic insights on scam typologies, and adopt AI/network analytics to enhance detection of complex scam networks.

Anti-Deception Initiative Participation

AIs must proactively enhance performance in joint initiatives, particularly through timely handling of requests from the '24/7 Stop Payment Mechanism' and upstream scam intervention mechanisms, with HKMA reviewing performance data.

Publicity and Customer Education

AIs are expected to collaborate with HKMA and HKPF to deliver timely educational messages on emerging scam tactics, reinforcing customer responsibility for self-protection.

View the full article:Source

我们使用 Cookie 来提升您使用本网站的体验,并在必要时让您完成注册。继续使用本网站即表示您同意使用这些 Cookie。欲了解更多信息及如何更改 Cookie 设置,请参阅我们的 Cookie 政策和隐私声明。