Are You Struggling to Combat High Fraud Rates and Compliance Challenges in Real-Time Transactions?
Enhance security and streamline compliance, reducing fraud losses and operational costs in real-time and cross-border payments.
High Fraud in Real-Time & Cross-Border Rails
Instant RTP, SEPA Inst, and card-not-present traffic leave no window for manual review, so fraudsters can siphon funds before you can intervene, inflating losses and customer churn.
Account Takeovers & Synthetic Identities
Cybercriminals bypass passwords and KYC by hijacking devices or stitching fake profiles, driving unauthorized transactions that damage brand trust and trigger costly reimbursements.
Chargebacks, Disputes, and Operational Drag
CNP fraud and promo abuse spike dispute volumes, forcing analysts to juggle multiple systems, miss network deadlines, and absorb rising fee liabilities.
Fragmented Global Compliance Landscape
PSD2, FedNow, 5AMLD, UPI, and card-network mandates shift constantly, requiring region-specific controls and audit trails that strain already thin fraud-ops teams.
Combat Fraud Swiftly with FraudNet's Cutting-Edge Solutions
FraudNet empowers payment companies to swiftly combat fraud and maintain compliance in real-time transactions.
Real-Time Transaction Monitoring
Score every payment in <300 ms; block high-risk traffic instantly.
Continuous Entity Screening
Automate KYB, AML, and sanctions checks at onboarding and beyond.
AI-Native Risk Decisioning
Adaptive models cut false positives and lift approval rates.
Unified Case Management Workspace
All alerts, evidence, and audits in one workflow-ready console.
Millisecond-Level Prevention
Protect your payment ecosystem with millisecond-level fraud prevention. Our ultra-fast scoring, advanced behavioral analytics, and continuously refined global fraud intelligence from FraudNet ensure you intercept threats before funds vanish, safeguarding your bottom line and enhancing customer trust.
One-Click Investigations
Streamline your fraud response with a unified dashboard that connects transactions, devices, documents, and chat logs. Empower your analysts to swiftly transition from alert to resolution, significantly reducing handling time and backlog, and enhancing your operational efficiency.
Built-In Compliance Assurance
Stay effortlessly compliant with dynamic rule templates, automated SAR filing, and immutable audit trails. Align seamlessly with PSD2, PCI DSS, and global regulations—no additional staff required—freeing your team to focus on what matters: reducing fraud and enhancing customer trust.
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
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by Industry Analysts
Related Resources
Other Services
View More
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 advanced algorithms and machine learning to analyze transaction patterns and detect anomalies that may indicate fraudulent activity. By continuously updating with new data, they help payment companies stay ahead of emerging fraud tactics.
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 fraud. It continuously learns from new data, improving its predictive accuracy over time. This adaptive capability allows payment companies to detect and respond to new and evolving fraud tactics more quickly, reducing false positives and enhancing the overall security of transactions.
What steps should a payment company take when a fraud case is identified?
When a fraud case is identified, a payment company should immediately freeze the affected account to prevent further transactions, conduct a thorough investigation to understand the scope and method of the fraud, and notify the customer involved. Additionally, they should report the incident to relevant authorities and consider updating their security measures to prevent similar cases in the future. Communication and transparency with affected parties are crucial during this process.
How can payment companies balance fraud prevention and customer experience?
Payment companies can balance fraud prevention and customer experience by implementing multi-layered security measures that minimize friction for legitimate users. This includes using sophisticated fraud detection algorithms, offering secure authentication methods like two-factor authentication, and personalizing risk assessments based on user behavior. By educating customers about security and maintaining clear communication, companies can enhance trust while ensuring a smooth transaction experience.
What role does real-time monitoring play in managing fraud cases?
Real-time monitoring is crucial in managing fraud cases as it allows immediate detection and response to suspicious activities. By continuously analyzing transactions as they occur, payment companies can identify anomalies that may indicate fraud, enabling them to take swift action such as blocking transactions, flagging accounts, or alerting customers. This proactive approach helps minimize potential losses and enhances the overall security of the payment system.
Why is collaboration important in fraud case management?
Collaboration is vital in fraud case management because it enables payment companies to share insights and information about emerging threats and tactics. Working with industry peers, law enforcement, and fraud prevention networks can lead to more effective strategies and faster identification of fraudulent activities. Additionally, collaboration can improve the development of industry standards and best practices, enhancing the overall resilience of payment systems against fraud.