Cloud-Based Fraud Prevention Solutions for Payment Service Providers

Enhance security, reduce fraud costs, and streamline compliance with scalable, real-time cloud-based fraud prevention for PSPs.

Are Fragmented Oversight and Manual Processes Putting Your Business at Risk?

Enhance efficiency and security by streamlining oversight and automating processes, reducing risk and protecting your business.

Fragmented Merchant Oversight

Thousands of sub-merchants flow through multiple gateways and MID structures, making it hard for PSPs to spot unusual spikes in refunds, card-testing, or brand-damaging activity before networks issue fines.

Chargeback Exposure

High card-not-present (CNP) volumes and friendly fraud can push portfolio ratios over card-network limits, forcing PSPs to fund representments, pay escalating fees, and risk losing acquiring licenses.

Manual KYB Risk Assessments

Onboarding SMB sellers still relies on documents and spreadsheets, slowing revenue, missing sanctioned entities, and leaving PSPs open to AML or reputational penalties.

Insufficient Real-Time Risk Visibility

Disparate acquirer, issuer, and gateway data prevents a single view of transaction and merchant threats, delaying intervention and driving up fraud losses.

FraudNet: Revolutionize Risk Management with Cutting-Edge Solutions

Streamline oversight and reduce risk with FraudNet's automated solutions for Payment Service Providers.

Policy Monitoring

Auto-flags merchants breaching chargeback or refund limits.

Millisecond Transaction Monitoring

Risk scores every payment before authorization completes.

Automated KYB Screening

Verifies identity, ownership, and sanctions in minutes.

Dynamic Risk Tiering

Continuously re-scores merchants by live performance data.

Key Capabilities For Payment Service Providers

Cloud-Native Scalability

FraudNet seamlessly scales during peak holiday or flash-sale traffic without requiring additional hardware. This ensures you deliver rapid, sub-second decisions consistently, allowing you to control costs while maintaining optimal performance and customer satisfaction. Keep operations smooth and efficient, even during the busiest times.

Unified AI-Native Risk Dashboard

Consolidate all your gateway, processor, and issuer feeds into a single, powerful console. Experience real-time alerts, detailed drill-downs, and actionable portfolio health KPIs, empowering you to respond instantly and make informed decisions that protect and grow your business.

Lower False Positives, Faster Revenue

Leverage adaptive models and consortium intelligence to minimize false positives, ensuring legitimate transactions are approved swiftly. Enhance merchant satisfaction by preserving sales and boosting revenue, all while maintaining a robust defense against fraud. This means happier clients and a healthier bottom line.
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

Speak with our Solutions Expert Today

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FAQs

What is PSP cloud fraud prevention?

PSP cloud fraud prevention refers to the use of cloud-based technologies and strategies to detect, prevent, and mitigate fraudulent activities in payment processing systems. It involves leveraging advanced algorithms, machine learning, and big data analytics to identify potentially fraudulent transactions, analyze user behavior, and implement real-time security measures to protect both merchants and consumers from financial loss.

How does machine learning enhance fraud detection in PSP systems?

Machine learning enhances fraud detection by continuously analyzing transaction data to identify patterns and anomalies that indicate fraudulent activity. Algorithms can learn from historical data to improve their accuracy over time, adapting to new fraud tactics. This allows PSPs to detect suspicious transactions in real-time, reducing false positives and improving the overall efficiency of their fraud prevention efforts.

Why is real-time transaction monitoring important for PSPs?

Real-time transaction monitoring is crucial for PSPs because it allows immediate detection and response to potentially fraudulent activities. By analyzing transactions as they occur, PSPs can prevent fraudulent transactions from being processed, minimizing financial losses and protecting merchant and consumer data. This proactive approach also enhances customer trust and compliance with regulatory requirements, such as PCI DSS.

What role does data analytics play in fraud prevention for PSPs?

Data analytics plays a critical role in fraud prevention by enabling PSPs to process and analyze large volumes of transaction data to identify trends, patterns, and anomalies indicative of fraud. Advanced analytics tools allow PSPs to segment data, apply risk scoring, and generate insights that inform decision-making and strategy development, enhancing their ability to detect and prevent fraud effectively.

How can PSPs balance fraud prevention with customer experience?

PSPs balance fraud prevention with customer experience by implementing sophisticated risk assessment tools that minimize friction for legitimate transactions while flagging suspicious activities. Techniques like adaptive authentication, behavioral biometrics, and customer profiling allow PSPs to tailor security measures to individual risk levels, ensuring a seamless experience for customers without compromising security.

What are the regulatory considerations for PSPs in fraud prevention?

PSPs must comply with various regulations, such as PCI DSS, GDPR, and PSD2, which mandate stringent data protection and transaction security measures. These regulations require PSPs to implement comprehensive fraud prevention strategies, including encryption, secure authentication, and regular security audits. Compliance not only protects against legal penalties but also enhances customer trust by demonstrating a commitment to safeguarding sensitive financial data.