Dynamic Fraud Rules Engine for Payment Service Providers

Boost fraud detection accuracy, reduce false positives, and protect merchant portfolios effortlessly with customizable, AI-driven fraud rules.

Is Your Payment System Struggling with Fragmented Oversight and Rising Risk?

Enhance control and efficiency by unifying merchant oversight, reducing risk, and ensuring prompt, consistent fraud response across all channels.

Fragmented Merchant Oversight

Managing thousands of diverse merchants across multiple systems leaves PSPs with blind spots, inconsistent rule application, and delayed reactions to emerging threats.

Chargeback Exposure

Excessive chargebacks threaten card-network thresholds, driving up fees, draining reserves, and damaging a PSP’s standing with acquirers and issuers.

Manual KYB Bottlenecks

Spreadsheet-driven identity and ownership checks slow onboarding, create compliance gaps, and allow bad actors to slip into the payment flow.

Limited Real-Time Risk Visibility

Siloed dashboards force analysts to toggle between data sources, delaying fraud decisions and inflating operational costs.

FraudNet: Transforming Risk Management with Smart Solutions

Streamline oversight and reduce risk, empowering PSPs to manage merchants efficiently and securely.

Policy Monitoring

Automated rules enforce chargeback, refund, and velocity policies instantly.

Millisecond Transaction Screening

CNP and CP payments scored in real time to block suspected fraud.

KYB Screening

Layered identity and behavior checks streamline safe merchant onboarding.

Risk Tiering & Scoring

Ranks merchants by performance, surfacing high-risk segments for review fast.

Key Capabilities For Payment Service Providers

AI-Native Real-Time Detection

FraudNet evaluates each transaction in milliseconds, harnessing global insights to significantly reduce fraud losses while ensuring legitimate transactions flow smoothly. Elevate your service with precise fraud detection that protects your bottom line without compromising genuine customer experiences.

Self-Service Adaptive Rules

Empower your team with drag-and-drop logic to instantly launch or adjust fraud policies, ensuring you stay ahead of evolving fraud tactics and adapt to new business models seamlessly. Stay agile and responsive, safeguarding your operations and maximizing legitimate transaction volumes effectively.

Unified Multi-Channel View

Unify your risk management with a single console that integrates web, mobile, POS, and marketplace data. This comprehensive 360° view empowers your analysts to swiftly assess threats, drastically reducing investigation time and enhancing your response to emerging fraud tactics.
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 are PSP adaptive fraud rules?

PSP adaptive fraud rules are dynamic, data-driven algorithms used by Payment Service Providers to detect and prevent fraudulent activities in real-time. These rules leverage machine learning and AI to analyze transaction patterns and adapt to new fraud tactics quickly, ensuring enhanced security while minimizing false positives. They continuously learn from new data, improving their ability to identify suspicious behavior and protect both merchants and customers from fraud.

How do adaptive fraud rules differ from traditional fraud detection methods?

Adaptive fraud rules differ from traditional methods by using machine learning and AI to continuously update themselves based on new data and patterns. While traditional methods rely on static, predefined rules that may become obsolete, adaptive rules evolve with emerging fraud tactics, providing more accurate and timely detection. This dynamic approach helps reduce false positives and better protect against sophisticated, evolving fraud schemes.

What are the benefits of using adaptive fraud rules for PSPs?

Adaptive fraud rules offer several benefits for PSPs, including enhanced fraud detection accuracy, reduction in false positives, and improved customer experience. By continuously learning from new data, these rules can quickly adapt to emerging fraud tactics, protecting both merchants and customers more effectively. Additionally, they streamline operations by minimizing manual reviews and enabling PSPs to focus on genuine threats, thus optimizing resource allocation and reducing operational costs.

Can adaptive fraud rules be tailored for specific industries or businesses?

Yes, adaptive fraud rules can be customized for specific industries or businesses. By analyzing transaction patterns unique to a particular sector or company, these rules can be fine-tuned to better detect anomalies and potential fraud. This customization allows PSPs to address industry-specific threats and adapt to the unique risk profiles of different businesses, enhancing the overall effectiveness of fraud prevention measures while maintaining a positive customer experience.

How do adaptive fraud rules improve over time?

Adaptive fraud rules improve over time by leveraging machine learning algorithms that continuously analyze transaction data and adjust to new fraud patterns. As they process more data, these rules become more accurate in distinguishing between legitimate and fraudulent activities. This ongoing learning process allows them to adapt to emerging threats, reducing false positives and enhancing overall fraud detection capabilities, thus providing more robust protection for merchants and customers.

What role does machine learning play in adaptive fraud rules?

Machine learning plays a critical role in adaptive fraud rules by enabling them to analyze vast amounts of transaction data and identify patterns indicative of fraud. It allows these rules to learn from historical data and adapt to new fraud tactics in real-time. By continuously updating their models, machine learning helps improve the accuracy and efficiency of fraud detection, ensuring that PSPs can effectively counter evolving threats and minimize both false positives and missed fraud cases.