Safeguarding High-Volume Transactions for Payment Service Providers

Enhance fraud detection, reduce chargeback risks, and streamline KYB processes for seamless, secure high-volume transactions.

Are You Struggling with These Critical Payment Processing Challenges?

Streamline merchant oversight, reduce chargeback risks, speed up KYB processes, and gain instant risk insights to safeguard your business.

Fragmented Merchant Oversight

Large, fast-growing portfolios make it hard for PSPs to spot high-risk merchants early, leaving gaps that criminals exploit and regulators scrutinize.

Chargeback Exposure

Surges in disputes can breach card-network thresholds, trigger fines, drain reserves, and erode PSP credibility with acquirers and merchants alike.

Manual KYB Risk Assessments

Spreadsheet-driven onboarding slows growth, misses hidden ownership links, and increases compliance failures as application volumes spike.

Insufficient Real-Time Risk Visibility

Disparate systems delay insight into transaction anomalies, preventing PSP teams from acting before fraud losses and regulatory findings mount.

Fraudnet: Streamlined Solutions for Unmatched Merchant Risk Control

Streamline risk management and boost compliance, safeguarding your payment processing operations with Fraudnet.

Policy Monitoring

Auto-enforce chargeback, refund, and velocity rules at the merchant level.

Transaction Monitoring in Milliseconds

Score every CNP and CP payment instantly before authorization completes.

KYB Screening

Layered identity, ownership, and sanctions checks at onboarding.

Risk Tiering & Scoring

Continuously segment merchants into low, med, high bands for tailored controls.

Key Capabilities For Payment Service Providers

Centralized, Live Merchant Intelligence

Experience seamless risk management with our centralized dashboard that unifies portfolio, transaction, and policy data. Instantly detect anomalies, implement precise controls, and effortlessly demonstrate regulatory compliance, empowering your risk team to stay ahead of threats and maintain a secure, transparent merchant environment.

Lower Chargebacks, Higher Margins

Dynamic fraud scoring and customizable rules help you maintain dispute ratios below network thresholds, safeguarding your processing privileges. This not only reduces reserve requirements but also secures your hard-earned revenue, enhancing your credibility with acquirers and ensuring seamless operations.

Frictionless, Compliant KYB at Scale

Accelerate your onboarding process from days to minutes with automated entity verification, beneficial-owner discovery, and watch-list screening. Seamlessly comply with global KYC/KYB mandates, ensuring swift and secure merchant integration to fuel your growth and maintain regulatory alignment.
Impact & Results

Delivering Results that Matter

We don’t just promise better fraud control—we deliver tangible improvements that protect your business.

97%

Fewer False Positives

Approve more valid transactions confidently.

88%

Fraud Reduction

Experience double-digit reductions in fraud-related chargebacks

60%

Cost Savings

Save time and resources while securing your revenue.

Why FraudNet

Future-Proof Your Fraud & Risk Program

With an integrated platform designed for precision, agility, and impactful results, enabling your team to make smarter decisions, improve operational efficiency, and fuel your business growth.

Customizable & Scalable

No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.

End-to-End Platform

Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.

AI Precision You Can Rely On

Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.

Real-Time Fraud Intelligence

Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.

Testimonials

Real Success From Real Teams

Fraud.net’s flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements. Their platform has enabled Arvato to increase our agility and significantly reduce fraud attacks.

Director Risk & Fraud, Arvato

FraudNet's combination of customized machine learning and flexible rules management has been transformative. We've achieved dramatic efficiency gains while maintaining robust fraud protection - a game-changer as we navigate evolving regulatory requirements.

Head of Financial Crime, Countingup

The great usability of Fraud.net is night and day when comparing it to our prior risk prevention platform. Reporting is also faster, more straightforward, and more impactful. With Fraud.net, we can easily visualize and share findings, providing our leadership with a clear understanding of the return-on-investment for our activities in real-time.

Fraud Manager, Global Financial Institution

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FAQs

What is high-volume transaction fraud in the context of PSPs?

High-volume transaction fraud involves unauthorized or fraudulent transactions carried out in large quantities within a short period. For Payment Service Providers (PSPs), this poses a significant risk as it can lead to financial losses, reputational damage, and regulatory penalties. Fraudsters often use automated tools or bots to execute these transactions, exploiting vulnerabilities in the payment processing system to bypass security measures.

How can PSPs detect high-volume transaction fraud?

PSPs can detect high-volume transaction fraud by implementing advanced fraud detection systems that use machine learning and artificial intelligence to analyze transaction patterns. These systems flag anomalies that deviate from normal transaction behavior. Additionally, real-time monitoring, velocity checks, and setting up transaction limits can help identify and mitigate suspicious activities. Collaborating with fraud prevention services and maintaining updated threat intelligence are also crucial strategies.

What are common indicators of high-volume transaction fraud?

Common indicators include a sudden spike in transaction volumes, multiple transactions from the same IP address or device, irregular transaction patterns, and a high number of declined transactions. Other signs may involve unusual geographic locations for transactions, frequent small transactions that sum up to significant amounts, and attempts to use multiple payment methods or accounts. Keeping an eye on these indicators helps PSPs to quickly identify and respond to potential fraud.

How do fraudsters execute high-volume transaction fraud?

Fraudsters often use automated scripts or bots to carry out high-volume transaction fraud, exploiting compromised card details or account credentials. They may employ tactics such as card testing, where they make small purchases to verify card validity before executing larger fraudulent transactions. Additionally, they might use sophisticated phishing schemes to harvest credentials or leverage dark web data to orchestrate large-scale attacks. Their goal is to overwhelm the PSP's defenses to slip through undetected.

What preventive measures can PSPs implement against high-volume transaction fraud?

PSPs can implement several preventive measures, such as deploying multi-layered security protocols, including two-factor authentication and tokenization. Regularly updating and patching systems to fix vulnerabilities is crucial. Additionally, educating merchants and customers about security practices, conducting regular risk assessments, and establishing a clear fraud response plan can significantly enhance defenses. Collaborating with industry peers and law enforcement for shared intelligence also strengthens overall security posture.

What role do machine learning and AI play in combating high-volume transaction fraud?

Machine learning and AI play a pivotal role in combating high-volume transaction fraud by enabling PSPs to analyze vast amounts of transaction data in real-time. These technologies identify patterns and anomalies that might indicate fraudulent behavior, allowing for faster and more accurate detection. AI models continuously learn from new data, improving their predictive capabilities over time. This adaptability helps PSPs to stay ahead of evolving fraud tactics and reduce false positives, ensuring legitimate transactions are not unnecessarily blocked.