Question 1

What is payment fraud?

Accepted Answer

Payment fraud is any unauthorized transaction or deceptive activity that exploits the payment process to steal money or financial data. It targets cardholders, merchants, and payment processors through methods like stolen card details, account takeovers, and fraudulent merchant schemes. It costs businesses billions annually through chargebacks, fines, and lost revenue. As digital payments grow, fraud methods evolve faster than traditional rule-based systems can respond, making real-time AI detection essential.

Question 2

What are the signs of payment fraud?

Accepted Answer

The most common signs of payment fraud include unusual transaction patterns, unexpected spikes in chargebacks, and account activity from unfamiliar devices or locations. Multiple small transactions in quick succession (known as card testing) is a strong early indicator that stolen cards are being verified before large-scale fraud. For merchants, processing volumes inconsistent with their business profile or sudden changes in refund rates are red flags. Catching these signals requires real-time monitoring, as the average fraud attempt goes undetected for three or more weeks with legacy tools.

Question 3

What are the benefits of payment fraud protection?

Accepted Answer

The benefits of payment fraud protection include reduced chargebacks, fewer false declines, lower operational costs, and full regulatory compliance. Effective fraud protection lets through more legitimate transactions, directly protecting revenue that would otherwise be lost to incorrect blocks. Fraudio customers see an 8x return on investment and a 600% increase in fraud team efficiency after deployment. Teams can redirect manual review effort toward genuine threats instead of investigating false positives, reducing operational burden significantly.

Question 4

What is an example of payment fraud?

Accepted Answer

One of the most damaging examples of payment fraud is bust-out merchant fraud, where a fraudulent merchant processes high transaction volumes, collects settlement funds, then disappears before chargebacks arrive - leaving the acquirer fully liable. Another common example is Card-Not-Present (CNP) fraud, where stolen card details are used to make online purchases, typically starting with small card-testing transactions before escalating to large ones. Approximately 3% of newly digitally onboarded merchants turn out to be fraudsters, making merchant-level monitoring as critical as transaction-level detection. Without real-time fraud detection, these schemes go undetected for weeks.

Question 5

How to prevent payment fraud?

Accepted Answer

To prevent payment fraud, businesses need a combination of real-time transaction scoring, continuously learning AI, and rules-based controls working together at the point of authorization. Fraudio's payment fraud prevention solution scores every transaction in milliseconds and classifies it as Green (approve), Yellow (screen further or trigger 3DS), or Red (block), giving teams instant, actionable decisions. Unlike static rule engines, Fraudio's AI trains on billions of transactions across a centralized networked dataset, meaning it adapts to new fraud patterns the moment they emerge. Fraudio integrates in 3 to 14 days - compared to 5 to 14 months for legacy solutions - so protection starts from the very first transaction.

Question 6

How does Fraudio's payment fraud detection solution improve fraud detection?

Accepted Answer

Fraudio's payment fraud detection solution improves fraud detection by training its AI on billions of networked transactions rather than each customer's isolated data, giving it fraud intelligence no siloed system can match. This centralized approach means fraud signals identified anywhere across the network immediately benefit every connected customer. Fraudio detects fraud three weeks earlier than legacy solutions and supports fraud teams in processing up to 10,000 transactions per second without performance degradation. Deployment takes 3 to 14 days versus the industry standard of 5 to 14 months, delivering measurable ROI from day one.

Question 7

Does Fraudio use AI to prevent payment fraud?

Accepted Answer

Yes, Fraudio uses 3rd Generation centralized machine learning AI to prevent payment fraud - a fundamental step beyond the siloed AI models used by most competitors. Fraudio's patented technology pools transaction data from across its entire network into a single, continuously learning AI trained on billions of transactions spanning issuers, acquirers, and payment facilitators globally. It combines supervised learning to detect known fraud patterns with unsupervised learning to catch emerging threats no rules engine has yet identified. The AI operates behind a rules layer by default - rules trigger first, then AI adds a deeper level of analysis - delivering both speed and precision in every fraud decision.

Payment Fraud Detection

How it works?

How do we prevent payment fraud?

We use a simple traffic
light system

You control your fraud prevention

The Power of 3rd Generation Machine Learning AI

FRAUDIO´S CENTRALIZED ML AI BRAIN

COMPETITOR´S UNSCALABLE CUSTOM MODELS

Democratising Fraud Detection

High Transactions Volume Partners

Processing 0 to 50 Million Transactions per month?

Machine learning artificial intelligence
to detect fraud results in:

Zoom in on Fraud

Less False Positives

Seamless Process

Build Value