Are Instant Payment Frauds and Compliance Challenges Draining Your Resources?
Protect your margins and brand by blocking fraud instantly, preventing takeovers, reducing chargebacks, and meeting compliance effortlessly.
High Fraud Velocity in Instant Payment Rails
Sub-second payments (e.g., RTP, FedNow, UPI) give fraud teams no manual review window, letting bad actors move funds before you can react, which directly erodes processing margins and damages brand trust.
Sophisticated Account Takeovers & Synthetic IDs
Criminals hijack user credentials, spoof devices, and create lifelike synthetic identities that bypass traditional KYC—driving unauthorized transfers, mule activity, and costly restitution for affected customers.
Rising Chargeback Costs and Operational Drag
Card-not-present fraud and promo abuse fuel dispute volumes. Manual case handling drains analyst time, increases interchange clawbacks, and jeopardizes chargeback-ratio thresholds with card networks.
Patchwork Global Compliance Obligations
Keeping pace with PSD2, FATF, 5AMLD, PCI DSS, and regional instant-payment rules demands continuous screening and audit trails—stretching already-thin fraud and risk resources.
Transform Payment Security with FraudNet Solutions
Boost security and compliance effortlessly, protecting margins and trust for payment companies worldwide.
Real-Time Transaction Monitoring
Scores every payment in milliseconds, auto-blocks high-risk events.
Behavioral ATO Detection
Detects anomalous logins and device shifts to stop takeovers.
Chargeback Early Warning
Flags refund spikes and issuer alerts to cut dispute losses.
Continuous Compliance Engine
Unifies AML, KYB, and transaction histories to meet global mandates.
AI-Native, Millisecond Decisioning
Harness adaptive risk scores powered by global fraud intelligence and your unique data. Seamlessly approve legitimate transactions while blocking threats in real-time, ensuring secure payments and maximizing revenue—before authorization even completes. Elevate your fraud prevention strategy with precision and speed.
Unified Fraud, Risk, and Compliance Workspace
Empower your analysts with a unified console for seamless alert triage and case investigation, eliminating cumbersome swivel-chair workflows. This streamlined approach reduces false positives and liberates your team to focus on strategic initiatives, enhancing efficiency and decision-making in payment processing.
Scalable, Low-Code Integration
Rapidly implement FraudNet with our flexible APIs, webhooks, and pre-built connectors. Deploy within weeks, seamlessly scale during high transaction periods, and stay ahead of evolving payment channels—ensuring your systems are always resilient, efficient, and future-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
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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. Advanced systems utilize machine learning algorithms to spot anomalies and patterns indicative of fraudulent activities, providing companies with real-time insights to mitigate risks.
How does real-time fraud detection benefit payment companies?
Real-time fraud detection allows payment companies to immediately identify and respond to suspicious transactions, reducing the risk of financial loss and protecting customer data. This proactive approach not only minimizes fraud but also enhances customer trust and satisfaction by ensuring secure transactions and quick resolution of potential threats.
What technologies are commonly used in real-time fraud detection systems?
Real-time fraud detection systems often employ a combination of machine learning, artificial intelligence, and rule-based algorithms. These technologies work together to analyze transaction patterns, flag irregularities, and refine detection models over time. Additionally, the use of big data analytics and behavioral biometrics can further enhance the accuracy and speed of fraud detection.
How can payment companies integrate real-time fraud visibility into their existing systems?
Payment companies can integrate real-time fraud visibility by implementing APIs provided by fraud detection vendors, which seamlessly connect with existing payment processing systems. It is crucial to ensure that the integration is scalable and flexible, allowing for continuous updates and improvements. Companies should also consider training staff to understand and utilize the insights provided by these systems effectively.
What role does machine learning play in fraud detection?
Machine learning plays a crucial role in fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies associated with fraudulent activities. Over time, machine learning models adapt and improve their accuracy, enabling more precise detection and reducing false positives. This technology empowers payment companies to stay ahead of evolving fraud tactics and protect their operations effectively.
How can payment companies measure the effectiveness of their fraud detection systems?
Payment companies can measure the effectiveness of their fraud detection systems by tracking key metrics such as false positive rates, fraud detection accuracy, and response times. Regularly reviewing these metrics helps companies assess the efficiency of their systems and make necessary adjustments. Additionally, conducting periodic audits and staying updated on industry trends and threats can ensure that the detection system remains robust and effective.