Strategies to Prevent Major Fraud Losses for Payment Companies

Protect your payments with AI-Native fraud detection, ensuring security, compliance, and seamless transactions in real-time.

Is Your Payment System Struggling with These Critical Challenges?

Uncover hidden vulnerabilities and safeguard your revenue by addressing fraud, compliance, and operational inefficiencies in real-time payments.

High Fraud Rates in Real-Time Payments

Instant settlement gives analysts no buffer to flag anomalies, letting scammers move stolen funds before chargebacks or reversals are possible—directly impacting your net revenue.

Account Takeovers & Synthetic Identities

Fraudsters hijack legitimate credentials or create convincing fake personas to pass KYC, drain linked cards, and mule funds across your rails, damaging brand trust and triggering losses.

Chargebacks & Payment Disputes

Card-not-present fraud, promo abuse, and friendly fraud inflate dispute ratios, raising scheme fees and threatening acquirer relationships for payment providers.

Regulatory Fragmentation

PSD2, FedNow, FATF, and other regimes require region-specific controls; missing one mandate invites fines, remediation costs, and potential license restrictions.

Combat Fraud with FraudNet: Your Real-Time Defense Solution

Boost security and efficiency, minimize fraud losses, and enhance customer trust with FraudNet solutions.

Real-Time Transaction Monitoring

Score every payment in <100 ms to spot high-risk behavior instantly.

Ongoing Entity Screening

Continuously check users and merchants against AML, KYB, sanctions lists.

AI & ML Risk Decisioning

Adaptive models learn your data to cut fraud while reducing friction.

Centralized Case Management

One workspace to triage alerts, collaborate, and create audit trails.

Key Capabilities For Payment companies

Millisecond-Level Detection

FraudNet's AI-driven engine analyzes over 1,000 risk signals per transaction in milliseconds, intercepting fraudulent activities before they complete. This proactive approach not only safeguards your revenue but also ensures a seamless experience for genuine customers, enhancing trust and loyalty.

Lower False Positives, Higher Acceptance

Unlock higher revenue potential with precision scoring that reduces unnecessary declines by up to 50%. Approve more legitimate transactions, boost your good volume, and enhance interchange growth—all while minimizing chargeback risks for a seamless payment experience.

Unified Compliance & Reporting

Stay audit-ready effortlessly with our real-time dashboards and automated SAR/STR filing. Our region-specific rule packs streamline compliance, reducing the manual paperwork burden on your risk and operations teams while ensuring you meet regulatory requirements seamlessly and efficiently.
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 types of payment fraud can detection software identify?

Detection software can identify various types of payment fraud, including credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering, among others. By analyzing transaction patterns and user behavior, these systems can flag suspicious activities, helping payment companies respond swiftly and mitigate potential losses.

How can machine learning help in fraud prevention?

Machine learning enhances fraud prevention by analyzing vast amounts of transactional data to identify patterns and anomalies indicative of fraudulent activity. It continuously learns from new data to improve detection accuracy, enabling payment companies to anticipate and prevent new fraud tactics. This proactive approach not only reduces false positives but also minimizes financial losses and enhances the customer experience.

What role do multi-factor authentication (MFA) methods play in fraud prevention?

Multi-factor authentication (MFA) significantly strengthens fraud prevention by requiring users to provide multiple forms of verification before accessing accounts. This additional layer of security makes it more challenging for fraudsters to gain unauthorized access, as they would need to compromise more than one authentication factor, such as something the user knows (password), has (phone), or is (biometric data).

How can payment companies balance fraud prevention with customer convenience?

Payment companies can balance fraud prevention with customer convenience by implementing seamless security measures that do not overly disrupt the user experience. This includes using advanced analytics to reduce false positives, employing user-friendly authentication processes, and personalizing fraud alerts. By doing so, companies can maintain robust security while ensuring a smooth and hassle-free payment process for customers.

Why is real-time transaction monitoring important in fraud prevention?

Real-time transaction monitoring is crucial as it allows payment companies to detect and respond to fraudulent activities instantly. By continuously analyzing transactions as they occur, companies can identify suspicious patterns and take immediate action, such as blocking transactions or alerting customers. This rapid response is essential to prevent significant financial losses and to protect both the company and its customers from fraud.

What are chargebacks, and how do they relate to fraud prevention?

Chargebacks occur when a customer disputes a transaction, often due to fraudulent activity, and the payment is reversed. They are a significant concern for payment companies as they can lead to financial losses and increased operational costs. Effective fraud prevention strategies, such as accurate transaction monitoring and robust authentication measures, can reduce the likelihood of chargebacks by deterring fraudulent transactions in the first place.