NG Blog

The Top Banking Fraud Types to Watch in 2024

Written by Mine Fornerod | Jan 18, 2024 1:28:49 PM

$4.7 trillion is lost to fraud each year. In a digital world where banking fraud is not just a possibility, but an ever-evolving threat, staying informed is your first line of defense. NetGuardians' latest white paper, "The Top Banking Fraud Types to Watch in 2024", is an essential read for anyone looking to understand and combat these emerging threats.

2024 has ushered in an era where traditional forms of fraud like phishing, romance scams, and investment schemes are becoming increasingly sophisticated, often enhanced with cutting-edge technologies like generative AI and deepfakes. This white paper delves deep into the anatomy of these frauds, showcasing real-life examples and the staggering financial impacts they have on individuals and institutions.


Understanding Latest Authorized and Unauthorized Frauds

What sets this paper apart is its comprehensive analysis of both authorized and unauthorized frauds, providing a 360-degree view of the current fraud landscape. You'll gain insights into how frauds are perpetrated, from social engineering tactics to the exploitation of mobile technologies, and how they can be effectively detected and prevented.

Authorized Frauds: These involve the victim initiating the payment under deceptive pretenses. Examples include push payment social engineering, romance scams, business email compromise, invoice fraud, investment scams, and telephone scams. Each of these frauds capitalizes on the manipulation of the victim.

 

Unauthorized Frauds: These are executed without the victim's knowledge. Key examples are bank insider fraud, phishing-enabled account takeover, man-in-the-middle/pharming attacks, technical support scams, and mobile SIM swap and mobile malware. These scams exploit technological vulnerabilities and often require sophisticated methods to detect and prevent.

Regulatory Changes & Liability

The white paper then addresses the pressing issue of regulatory changes. With frauds escalating, the question of liability is becoming increasingly significant, and the landscape is shifting regarding authorized push payment frauds. Traditionally, banks could avoid liability in cases where victims initiated the payment. However, with the introduction of the Contingent Reimbursement Model Code in the UK, more than 300 financial institutions, including top banks, have agreed to reimburse victims of authorized push payment frauds under certain conditions. 

Regulations drawn up by the UK’s Payment Systems Regulator that split fraud liability equally between sending and receiving banks will come into force in 2024, setting a precedent that is likely to be repeated in many jurisdictions. In Europe, the same model will be adopted under the third Payment Services Directive while elsewhere, including Australia and the US, banks are facing calls to offer consumers better protection against scams. This is likely to increase demand for systems that can detect and stop fraudulent payments before they leave the customer’s account, such as NetGuardians’.

The Solution: AI-Based System & the Power of Collaborative Efforts

The paper highlights the innovative solutions and strategies that are being employed to combat these frauds. From AI-based detection systems to collaborative community efforts, you'll learn about the tools and techniques that are turning the tide against fraudsters. 

AI-based systems work by comparing a transaction against the historical behavior pattern associated with an account holder or system user. This approach is crucial in detecting and preventing fraud, especially in complex scenarios where many transaction features might appear legitimate.

For example, NetGuardians’ AI-based solution has proven effective in detecting and preventing authorized push payment fraud. It evaluates various transaction variables against the customer’s profile, such as the beneficiary account, destination country, and currency, to identify discrepancies that indicate fraud.

Moreover, the deployment of machine learning algorithms dramatically reduces false positive alerts and cuts down on time and costs associated with fraud investigation. This not only protects customers but also enhances their experience by minimizing unnecessary transaction interruptions.

On the other hand, collaborative approaches, like NetGuardians’ Community Scoring & Intelligence, include partnerships between banks, fintech firms, regulatory bodies, and technology providers. Such collaborations are crucial for sharing information, developing best practices, and implementing cutting-edge technologies. By working together, these entities can create a more secure banking environment, mitigating the risks of both authorized and unauthorized frauds.

This white paper is more than just a resource; it's a call to action. With fraud losses reaching trillions of dollars globally, understanding these threats is no longer optional – it's imperative. If you’re a banking professional looking to this document is a must-read.

Download the full white paper, "The Top Banking Fraud Types to Watch in 2024", and arm yourself with the knowledge you need to safeguard your bank and your customers.