Is Your Issuing Bank Struggling with These Common Fraud and Compliance Challenges?
Protect revenue and reputation by overcoming fraud challenges with comprehensive solutions tailored to issuers' unique needs.
Account Takeovers (ATO)
Phishing, credential-stuffing, and SIM swaps let criminals hijack cardholder logins. Issuers shoulder chargebacks, customer churn, and reputational damage when compromised accounts fund unauthorized spend.
Synthetic Identity Fraud
Fraudsters stitch together real and fake data to open new cards. Issuers book instant revenue, yet face uncollectible balances and distorted credit-risk models once the identities vanish.
False Declines
Over-aggressive fraud rules reject legitimate transactions. Issuers lose interchange, frustrate cardholders, and drive profitable customers to rival programs with smoother approval experiences.
Rising Compliance Pressure
Global mandates—PCI DSS, PSD2 SCA, AML/KYB—tighten reporting and control expectations. Issuers risk penalties and higher audit costs if fraud tools lack transparent, auditable workflows.
FraudNet Solutions: Shield Your Issuers from Fraud
FraudNet empowers issuers to block fraud early, ensuring smooth operations and regulatory peace of mind.
Entity Screening
Real-time watchlist checks flag risky merchants early.
Transaction Monitoring
ML scores flag suspect spends before authorization posts.
Synthetic ID Detection
Cross-data analysis finds patched or unverifiable profiles.
Account Takeover Prevention
Behavior and device intel spot abnormal login patterns.
AI-Native Real-Time Detection
FraudNet instantly analyzes every transaction, leveraging issuer-specific patterns to block fraudulent activity while safeguarding genuine purchases. This ensures you maintain a seamless customer experience and protect your revenue by stopping fraud without disrupting legitimate cardholder transactions.
No-Code Rule Engine
Empower your team with our intuitive rule engine to precisely adjust thresholds and safely test changes. Achieve the perfect balance between strong risk control and seamless cardholder experience, ensuring customer satisfaction while safeguarding against fraud.
Audit-Ready Compliance Trails
Stay ahead of compliance demands with our automated logs, detailed case notes, and comprehensive reporting. Effortlessly prepare for inspections, reduce manual work, and ensure your team is always ready for regulators and internal audits, saving time and resources.
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 using advanced algorithms and machine learning, these tools can analyze transaction patterns, flag anomalies, and detect suspicious activities that deviate from a user's normal behavior, thereby helping issuers prevent potential fraud before it impacts customers.
How does machine learning enhance fraud detection for issuers?
Machine learning enhances fraud detection by continuously learning from transaction data to identify patterns and anomalies associated with fraudulent activities. It allows for real-time analysis and decision-making, providing issuers with the ability to quickly adapt to new fraud tactics. By improving the accuracy and speed of detection, machine learning helps issuers reduce false positives and better protect their customers from fraud.
What role does data privacy play in fraud detection tools?
Data privacy is crucial in fraud detection tools as they process sensitive information such as transaction details and personal identifiers. Maintaining data privacy ensures compliance with regulations like GDPR and CCPA, and builds customer trust. Issuers must ensure that fraud detection tools have robust encryption, anonymization techniques, and access controls to protect data from unauthorized access while still effectively analyzing it for fraud detection.
How often should fraud detection systems be updated?
Fraud detection systems should be updated regularly to keep pace with evolving fraud tactics and technological advancements. Frequent updates help ensure that the system can effectively identify new patterns of fraudulent behavior. Many issuers aim for continuous updates, leveraging real-time data and feedback to refine algorithms and improve accuracy, thereby maintaining a robust defense against emerging threats.
What are the benefits of integrating fraud detection tools with other security systems?
Integrating fraud detection tools with other security systems enhances overall protection by providing a comprehensive view of potential threats. It allows issuers to cross-reference data from different sources, improving accuracy in identifying fraud. Such integration enhances response times, enables automated actions based on detected threats, and simplifies compliance reporting. This holistic approach maximizes security measures, reduces operational costs, and strengthens customer trust.
How can issuers minimize false positives in fraud detection?
Issuers can minimize false positives by fine-tuning their fraud detection algorithms to better distinguish between legitimate and fraudulent activities. This involves using advanced analytics, machine learning, and historical data to refine the criteria for flagging suspicious transactions. Regularly updating the system with new fraud patterns and receiving feedback from flagged transactions can also help reduce false positives, ensuring that genuine transactions are not unnecessarily blocked.