Are High Fraud Rates and Regulatory Challenges Draining Your Resources?
Optimize your defenses and streamline compliance to protect profits and maintain trust in a complex payment landscape.
High Fraud Rates in Real-Time Rails
Instant authorizations give analysts no window for manual review, so scams, mule accounts, and bot-driven attacks slip through and create unrecoverable losses for payment processors.
Account Takeovers & Synthetic IDs
Fraudsters exploit weak device intel and siloed identity checks, hijacking user wallets or creating synthetic merchants that siphon funds before traditional controls detect anomalies.
Soaring Chargebacks & Disputes
Card-not-present abuse, promo fraud, and “friendly” chargebacks inflate refund ratios, triggering higher scheme fees, reserve requirements, and reputational risk with card networks.
Fragmented Global Regulations
PSD2, FedNow, 5AMLD, and PCI DSS each demand distinct controls; maintaining parallel rule sets and audit trails strains compliance budgets for multi-region payment companies.
FraudNet Solutions: Stop Fraud Fast with AI Precision
Boost your defenses and streamline compliance, protecting payment companies from fraud losses and regulatory strain.
Real-Time Fraud Detection
AI scores every transaction in <300 ms to block high-risk traffic.
Continuous Entity Screening
Automated KYB/AML checks update merchant and user risk daily.
Adaptive Machine-Learning Rules
Models retrain on your data to cut false positives, fast.
Unified Case Workspace
One dashboard triages alerts, evidence, and audit logs.
AI-Native, Millisecond Decisions
FraudNet's real-time analysis across devices, geographies, and networks empowers payment companies to maximize legitimate transactions while preemptively blocking fraud. Approve more genuine volume confidently and intercept fraudulent activities before they impact your bottom line, ensuring seamless and secure payment processing.
Centralized Compliance & Case Management
Streamline your compliance and fraud management with a unified dashboard that consolidates fraud, AML, and chargeback alerts. Automated evidence capture simplifies PCI and PSD2 audits, significantly reducing your analysts' workload while enhancing accuracy and efficiency across your payment operations.
Customizable to Your Payment Flows
Empower your team with flexible APIs and low-code rule builders to customize risk thresholds, workflows, and reporting. Seamlessly adapt to unique product launches or regional mandates, ensuring your payment processes remain agile and compliant in an ever-evolving landscape.
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. These tools use algorithms and machine learning to analyze transaction patterns and detect anomalies that may indicate fraudulent activity, thereby helping payment companies to mitigate risks and protect both themselves and their customers from financial losses.
How does machine learning enhance fraud detection in payment systems?
Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraudulent activity. It continuously learns from new data, improving its accuracy over time. This allows payment companies to detect emerging threats and adapt to new fraud tactics quickly. Machine learning models can also reduce false positives, ensuring legitimate transactions are not unnecessarily flagged, thereby enhancing both security and customer experience.
What role does real-time monitoring play in payment fraud prevention?
Real-time monitoring is crucial in payment fraud prevention as it allows for the immediate detection and response to suspicious transactions. By analyzing transactions as they occur, payment companies can identify potential fraud and take swift action, such as blocking transactions or alerting customers. This proactive approach not only minimizes financial losses but also helps maintain customer trust by providing a secure transaction environment.
How can payment companies balance fraud prevention with customer experience?
Payment companies can balance fraud prevention with customer experience by implementing advanced fraud detection tools that minimize false positives. Utilizing machine learning and behavioral analytics can help accurately identify fraudulent activities without disrupting legitimate transactions. Additionally, providing transparent communication and easy resolution processes for flagged transactions can enhance customer trust and satisfaction, ensuring that security measures do not negatively impact the user experience.
What are the key features to look for in a payment fraud detection tool?
Key features to look for in a payment fraud detection tool include real-time monitoring, machine learning capabilities, customizable risk scoring, and comprehensive reporting. The tool should also offer integration with existing systems, support for multiple payment channels, and the ability to adapt to evolving fraud tactics. User-friendly interfaces and robust customer support are also important to ensure seamless implementation and operation, ultimately enhancing the tool's effectiveness in combating fraud.
Why is it important for payment companies to regularly update their fraud detection tools?
Regularly updating fraud detection tools is important because fraud tactics are constantly evolving. New types of scams and vulnerabilities emerge frequently, requiring updated algorithms and detection methods to effectively combat them. By keeping tools up-to-date, payment companies can ensure they are protected against the latest threats, minimizing potential financial losses and maintaining customer trust by providing a secure payment environment.