Are Manual Reviews and Data Silos Slowing Down Your Fraud Prevention Efforts?
Streamline fraud prevention by eliminating manual bottlenecks and unifying data for faster, more accurate transaction decisions.
Manual Review Bottlenecks
Issuer fraud teams still sift through spreadsheets, screenshots, and network portals, slowing decisions, overwhelming analysts, and leaving customers waiting for transaction releases or chargeback credits.
High False-Positive Authorizations
Rules tuned for safety often misclassify good cardholders. Every blocked purchase drives call-center traffic, elevates churn risk, and chips away at interchange margins for issuers.
Siloed Data and Tool Sprawl
Issuer teams juggle separate systems for transaction logs, device intel, disputes, and network alerts, making it hard to see cross-channel fraud patterns or build airtight evidence.
Mounting Compliance Exposure
Keeping pace with Reg E/Z, PCI DSS, and PSD2 reporting is labor-intensive. Missed deadlines or incomplete audit trails can trigger fines and brand damage for issuing banks.
Streamline Fraud Management with FraudNet's Cutting-Edge Solutions
Streamline fraud prevention with seamless data integration and automation, enhancing efficiency for issuers.
AI-Native Decision Engine
Scores every issuer transaction in real time; trims false positives.
Unified Data Fabric
Consolidates issuer, network, device data for 360° fraud visibility.
Automated Case Orchestration
Routes, enriches, and audits cases end-to-end with zero manual touch.
Regulatory Compliance Toolkit
Auto-generates Reg E/Z evidence and timelines for effortless audits.
Real-Time, Adaptive Protection
FraudNet’s cutting-edge AI models adapt with each transaction, delivering lightning-fast risk assessments. This ensures evolving fraud threats are blocked instantly, all while maintaining the flow of genuine transactions, safeguarding your revenue, and enhancing customer satisfaction for issuers.
Single Pane-of-Glass Investigations
Streamline your fraud investigations with a single, comprehensive dashboard. Access alerts, evidence, and network messages instantly, reducing case resolution times by up to 70%. This efficiency empowers your analysts to focus on strategic tasks, enhancing overall productivity and effectiveness.
Built-In Regulatory Assurance
Stay effortlessly compliant with our automated solutions. Our built-in regulatory assurance ensures your issuing bank is always aligned with Reg E/Z, PCI DSS, and new mandates. Simplify audits with automated disclosure templates and retention policies, safeguarding against fines and brand damage.
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 are the primary steps in an issuer fraud investigation workflow?
The primary steps typically include fraud detection, where anomalies are identified; data collection, where transaction details and customer information are gathered; analysis and verification, to confirm fraudulent activity; reporting, where findings are documented; and resolution, which involves taking corrective actions such as blocking accounts or reversing transactions. Continuous monitoring and adjustment of fraud prevention strategies are also integral to the workflow.
How does machine learning enhance fraud detection in issuer workflows?
Machine learning enhances fraud detection by analyzing large datasets to identify patterns and anomalies that may indicate fraudulent activity. It improves accuracy over time by learning from past false positives and fraudulent transactions, thus refining its predictive models. This allows for real-time decision-making, reducing the time needed to identify and respond to potential fraud, and helps issuers stay ahead of evolving fraud tactics.
What role does customer communication play in fraud investigation workflows?
Customer communication is crucial in fraud investigation workflows as it helps verify suspicious transactions and gather additional information. It builds customer trust and ensures transparency, which is vital for maintaining customer relationships. Prompt communication can also prevent further fraudulent activity by quickly alerting customers and enabling them to take protective measures, such as changing passwords or confirming legitimate transactions.
How do issuers balance fraud prevention and customer experience?
Issuers balance fraud prevention and customer experience by implementing robust fraud detection systems that minimize false positives and maintain transaction speed. They use multi-layered authentication methods that enhance security while being user-friendly. Clear communication and education about potential fraud risks also empower customers. The goal is to protect customers without creating unnecessary friction in their transactions, ensuring a seamless experience.
What technologies are commonly used in fraud investigation workflows?
Common technologies used in fraud investigation include machine learning algorithms, artificial intelligence, big data analytics, and behavioral biometrics. These technologies help in detecting anomalies, predicting fraud patterns, and analyzing large volumes of transaction data. Additionally, real-time monitoring systems and secure communication channels are employed to ensure swift identification and response to fraudulent activities, enhancing the overall effectiveness of the workflow.
Why is continuous monitoring important in issuer fraud investigation workflows?
Continuous monitoring is essential as it enables issuers to detect and respond to fraudulent activities in real-time, minimizing potential losses and protecting customer accounts. It involves tracking transactions and user behaviors 24/7, allowing for immediate identification of suspicious activities. This proactive approach helps in adapting to new fraud tactics and maintaining the effectiveness of fraud prevention measures, ensuring the security of financial operations.