Are You Struggling with These Payment Fraud Challenges?
Boost your payment security and protect your brand by addressing these critical fraud challenges with targeted solutions.
High Fraud Rates In Real-Time Payments
Instant rails (FedNow, SEPA Instant, UPI) give you milliseconds to decide. Without automated analytics, scams sail through, losses spike, and manual review is impossible.
Account Takeovers & Synthetic Identities
Fraudsters weaponize stolen credentials, deepfakes, and bots to bypass legacy ID checks. Compromised accounts drain balances and erode customer trust in your payment brand.
Chargebacks & Payment Disputes
Card-not-present fraud and promo abuse trigger refund surges. Excessive chargeback ratios threaten scheme penalties and eat into already thin margins.
Regulatory Fragmentation
Complying with PSD2, 5AMLD, FATF, and regional mandates demands tailored controls. Disparate tools inflate costs and create audit gaps that invite fines.
Transform Payments with FraudNet's Cutting-Edge Solutions
FraudNet empowers payment companies to combat fraud efficiently, ensuring seamless transactions and safeguarding customer trust.
Real-Time Transaction Monitoring
Score each payment in milliseconds, blocking anomalies before funds move.
Entity Screening
Verify merchants and users against global watchlists at onboarding and beyond.
AI & Machine Learning Risk Decisioning
Train bespoke models to approve more good customers with minimal friction.
Centralized Case Management
Consolidate alerts, evidence, and workflows in one hub for faster resolution.
Real-Time Fraud Detection
Experience lightning-fast fraud prevention with every transaction scored in under 300 ms. Instantly block fraudulent activity before settlement, ensuring your legitimate transactions flow smoothly. Preserve your revenue stream while safeguarding customer trust and optimizing your payment operations with unparalleled efficiency.
Comprehensive Entity Screening
Automate your KYB, AML, and sanctions checks to ensure global compliance effortlessly. Our solution reduces manual review hours, streamlining operations and allowing you to focus on growth, while safeguarding your reputation and cutting down on compliance costs.
AI-Native Decisioning & Low False Positives
FraudNet’s advanced AI models adapt to your data, dramatically reducing false declines and operational costs. Empower your payment company to confidently approve more legitimate transactions, boosting customer satisfaction and revenue while maintaining robust fraud protection. Experience efficiency and trust like never before.
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 also detect emerging threats by analyzing patterns and deviations from normal transaction behavior, helping payment companies proactively address new fraud tactics.
How can fraud detection be made cost-effective for payment companies?
Fraud detection can be cost-effective by leveraging machine learning algorithms that improve over time, reducing manual review costs. Utilizing cloud-based solutions can also lower infrastructure expenses. Additionally, focusing on real-time analytics and automated alerts helps quickly identify and mitigate fraud, minimizing financial losses and operational disruptions.
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 indicative of fraudulent activity. It can adapt to new fraud techniques by learning from historical data, making the detection process more accurate and efficient over time, thereby reducing false positives and enhancing security measures.
How do payment companies balance fraud detection with user experience?
Payment companies balance fraud detection with user experience by implementing multi-layered security measures that operate silently in the background, such as behavioral analytics and device fingerprinting. These measures ensure transactions are secure without disrupting the user's experience. Additionally, offering multi-factor authentication provides an extra layer of security while maintaining customer convenience.
What are the challenges in implementing a fraud detection system?
Challenges in implementing fraud detection systems include handling large volumes of data, ensuring real-time processing, minimizing false positives, and adapting to evolving fraud tactics. Companies must also integrate these systems with existing infrastructure without disrupting operations, all while staying compliant with regulations and maintaining customer trust and privacy.
How does real-time fraud detection benefit payment companies?
Real-time fraud detection benefits payment companies by immediately identifying and preventing fraudulent transactions, thereby reducing potential financial losses and protecting customer accounts. It enhances the overall security posture, fosters consumer trust, and ensures compliance with regulatory requirements, ultimately contributing to a safer and more reliable payment ecosystem.