Banking and Finance Global

What Real-Time Cash Movement Means for Fraud Prevention

What Real-Time Cash Movement Means for Fraud Prevention
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Recall the good old days (or perhaps not so good?) when an attempted fraud took days to clear, allowing you a brief window of opportunity to catch it. Those days are rapidly disappearing. We’re now in the age of real-time funds movement, where funds can flash from one account to the next in seconds. This speed is amazing for business, but it also means a whole new ballgame for fraud prevention.

Let’s dive into what this super-fast money transfer means for staying safe.

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The Need for Speed (and the Fraudster’s Advantage)

The international drive to instant payments–consider UPI in India, FedNow in the US, or SEPA Instant Credit Transfer in Europe–is all about efficiency. Companies receive payment more quickly, consumers receive their refunds sooner, and the economy purrs along. But this velocity also provides fraudsters with a big advantage.

Instant Vanish

In the antiquated system, an imposter would need to wait at least a day or two for the money to settle, allowing banks and companies time to recognize suspicious behavior and possibly reverse the money. Now, after the money flows, frequently it is gone, untouchable, and unrecoverable in seconds.

Decreased Reaction Time

Your fraud detection teams previously had hours, sometimes days, to consider flagged transactions. With real-time payments, you have seconds. This requires a total rethink of how you detect and block fraudulent transfers.

New Attack Channels

Fraudsters are very versatile. They’re already making the most of the speed of real-time payments for scams like authorized push payment (APP) fraud, where victims are tricked into transferring money directly to the fraudster.

Converting Speed into Your Fraud-Fighting Friend

While real-time payments bring new challenges, technology that makes them possible also presents sophisticated tools for prevention. It’s a matter of fighting fire with even quicker fire.

Real-Time Monitoring and Analytics

This is your frontline defense. You require systems to assess transactions in real-time, searching for anomalies, odd patterns, or behavior deviations from the norm. AI and machine learning performing lightning-quick risk assessments come to mind.

Behavioral Biometrics

Beyond passwords alone, computers can now detect the way in which users behave on their device – their typing cadence, movement of the mouse, or even the way they hold the phone. This “behavioral biometric” information can signal whether it’s indeed the rightful user or an imposter.

Pre-Authorization Verification

Rather than simply checking against account numbers, strong systems can now conduct quick verification against known fraud databases, IP addresses, device identifiers, and even user locations prior to authorization.

Collaborative Intelligence

Information collaboration between financial institutions and even industries becomes ever more important. Real-time notices of nascent fraud schemes can assist everyone in blocking attacks quickly.

The Bottom Line

For business leaders and financial professionals, this transition to real-time cash movement is not merely a technical refresh; it’s a strategic mandate for preventing fraud. Using legacy, slow-detection techniques is akin to carrying a knife to a gunfight. You must invest in nimble, intelligent, and real-time fraud prevention technology.

This isn’t about inhibiting every transaction possible; it’s about creating a strong system that can detect, flag, and block suspicious activity in the blink of an eye. With the implementation of advanced technology and a proactive approach, you can reduce the speed of payments today while keeping your assets secure from more intelligent fraudsters. The payment future is instant, and so should be the future of your fraud defense.

About the author

Samita Nayak

Samita Nayak is a content writer working at Anteriad. She writes about business, technology, HR, marketing, cryptocurrency, and sales. When not writing, she can usually be found reading a book, watching movies, or spending far too much time with her Golden Retriever.