Leveraging AI for Risk Scoring in Payment Service Providers

Empower your PSP with AI-driven risk scoring for enhanced fraud detection, operational efficiency, and streamlined compliance.

Are Fragmented Oversight, Chargeback Exposure, and Manual Risk Assessments Holding You Back?

Streamline merchant oversight, minimize chargeback risks, and accelerate KYB processes for enhanced compliance and operational efficiency.

Fragmented Merchant Oversight

PSPs juggle thousands of merchants across verticals. Disparate data sources make it hard to spot emerging risks, leaving high-risk sellers to slip through routine reviews.

Chargeback Exposure

Rising card-not-present disputes can push portfolios over network thresholds, triggering financial penalties, higher reserve requirements, and reputational damage with acquirers.

Manual KYB Risk Assessments

Spreadsheet-driven onboarding slows growth. Human checks miss hidden ownership changes, synthetic identities, and sanctioned entities, creating costly compliance gaps.

Insufficient Real-Time Risk Visibility

Without a unified dashboard, analysts chase alerts across tools, delaying decisions on suspicious transactions and preventing proactive risk mitigation.

Elevate Security with FraudNet's Advanced Risk Solutions

Streamline risk management, enhance compliance, and protect revenue with FraudNet's unified oversight and automation.

Policy Monitoring Automation

Automates rule enforcement for refunds, chargebacks, limits across merchants.

Millisecond Transaction Screening

Scores every payment in real time, blocking fraud before authorization.

AI-Driven KYB Orchestration

Instantly verifies identity, ownership, sanctions, and behavior at signup.

Dynamic Risk Tiering Engine

Continuously re-scores merchants and routes cases by live risk level.

Key Capabilities For Payment Service Providers

AI-Native Real-Time Detection

FraudNet's AI-native technology processes thousands of signals within milliseconds for each transaction, ensuring fraud is intercepted without hindering genuine sales. This precision allows Payment Service Providers to maintain seamless business operations while safeguarding against fraudulent activities.

Unified Risk & Compliance Console

Streamline your operations with a unified platform that consolidates merchant, transaction, and policy alerts. Reduce investigation time and lighten analyst workload, allowing your team to focus on growth and proactive risk management, all while enhancing your compliance and operational efficiency.

Audit-Ready Insights

Stay effortlessly compliant with automated logs, transparent scoring, and customizable reports. Our solution ensures alignment with PCI-DSS, AML, and network regulations, eliminating last-minute rushes and giving you peace of mind that you're always audit-ready.
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 AI risk scoring?

PSP AI risk scoring is a method used by payment service providers to evaluate the risk associated with a transaction using artificial intelligence. By analyzing various data points and patterns, AI algorithms can assign a risk score to each transaction, helping to identify potentially fraudulent activities. This system allows PSPs to make informed decisions about approving or flagging transactions for further review, thus enhancing security and reducing fraud.

How does AI improve risk scoring accuracy in payment processing?

AI improves risk scoring accuracy by leveraging machine learning algorithms that can analyze large datasets and identify complex patterns indicative of fraud. Unlike traditional rule-based systems, AI can adapt to new fraud tactics by continuously learning from new data. This adaptability ensures that PSPs can detect evolving threats more efficiently, reducing false positives and enhancing the overall accuracy of risk assessments in payment processing.

What data is typically used in AI-based risk scoring?

AI-based risk scoring typically uses a variety of data points, including transaction details (amount, frequency, location), user behavior patterns, device information, historical transaction data, and external data sources such as blacklists or fraud databases. By combining these data elements, AI models can create a comprehensive profile of each transaction, identifying anomalies that may indicate fraudulent activity.

Can AI risk scoring help reduce chargebacks for PSPs?

Yes, AI risk scoring can significantly help reduce chargebacks for PSPs by identifying potentially fraudulent transactions before they are processed. By accurately assessing the risk level of each transaction in real-time, PSPs can prevent high-risk transactions from being completed, thereby reducing the likelihood of chargebacks. Additionally, AI systems can help in identifying and preventing friendly fraud, where legitimate customers dispute charges they actually authorized.

What challenges do PSPs face when implementing AI risk scoring?

PSPs face several challenges when implementing AI risk scoring, including data privacy concerns, integration with existing systems, and the need for high-quality data to train AI models. Additionally, there might be resistance to change from stakeholders accustomed to traditional methods. Balancing false positives and negatives is also critical to ensure legitimate transactions are not wrongly declined. Managing these challenges requires careful planning and collaboration with AI experts.

How does AI risk scoring support compliance with regulatory requirements?

AI risk scoring supports compliance by providing PSPs with the tools to detect and prevent fraudulent transactions, which is often a regulatory requirement. AI systems can be configured to adhere to specific compliance guidelines, such as those set by PCI DSS or GDPR, by ensuring data security and privacy. Furthermore, AI can generate detailed audit trails and reports, which are essential for demonstrating compliance during regulatory reviews or audits.