Is Your Fraud Prevention Strategy Letting Critical Threats Slip Through the Cracks?
Discover how to close security gaps and protect your business from sophisticated fraud threats with our comprehensive solutions.
Evasion of Traditional Controls
Fraud rings coordinate activity across multiple accounts, devices, and channels, easily slipping past single-entity, rule-based checks and creating large losses before alarms sound.
Hidden Relationships Stay Obscured
Analysts must sift through siloed logs to spot common IPs, emails, or devices. Without automated link analysis, crucial connections go unnoticed and networks grow.
Excessive False Positives
Limited behavioral context forces teams to over-block, sending an avalanche of alerts to manual review, frustrating good customers and inflating operational costs.
Fragmented Data Landscape
Identity, transaction, and device intelligence often reside in separate systems, preventing a single source of truth and slowing both detection and investigation.
Revolutionize Fraud Detection with Smart Solutions
Protect your business with FraudNet: detect hidden threats, prevent losses, and streamline investigations effortlessly.
AI & Machine Learning Pattern Detection
Learns patterns to flag coordinated anomalies invisible to rule-based checks.
Entity-Relationship Graphing
Maps entities to expose hidden links among devices, emails, IPs, and accounts.
Real-Time Transaction Monitoring
Watches actions live, blocking suspicious activity before losses accrue.
Unified Data Hub Integration
Blends identity, device, and transaction data for a 360° fraud view.
Early Fraud Ring Detection
Detect and neutralize coordinated fraud attacks in milliseconds with FraudNet’s AI-native models. Shut down entire networks before they escalate, protecting both your revenue and reputation.
Meaningful Alert Reduction
Unlock efficiency with FraudNet's contextual scoring and relationship analytics. By reducing false positives significantly, your team can concentrate on genuine threats, enhancing focus and operational effectiveness. Discover precision in fraud detection and elevate your security strategy today.
Investigation Dashboard Efficiency
Streamline investigations with linked entities, timeline visualizations, and auto-populated audit trails. Reduce case resolution time and cut operational costs, empowering your team to focus on high-risk activities with efficiency and precision.
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
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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. It uses advanced algorithms and machine learning to detect irregular patterns and anomalies in transaction data, helping businesses prevent unauthorized transactions and protect their customers.
How does fraud ring detection work?
Fraud ring detection works by analyzing large datasets to identify connections and patterns indicative of coordinated fraudulent activities. It employs machine learning, network analysis, and behavioral analytics to uncover hidden relationships between entities and detect organized fraud schemes. This approach helps in identifying both known and emerging fraud rings.
What are the benefits of using a fraud ring detection solution?
Using a fraud ring detection solution helps organizations reduce financial losses, enhance security, and protect customer trust. It enables quicker identification of fraud patterns, reduces false positives, and provides actionable insights for proactive measures. Additionally, it ensures compliance with regulatory requirements and improves overall operational efficiency.
Can fraud ring detection solutions be integrated with existing systems?
Yes, most fraud ring detection solutions are designed to integrate seamlessly with existing systems. They can be incorporated into various platforms, such as payment gateways, banking systems, and e-commerce platforms, using APIs and other integration methods. This flexibility allows organizations to enhance their fraud prevention capabilities without overhauling their current infrastructure.
How does machine learning enhance fraud detection capabilities?
Machine learning enhances fraud detection by continuously learning from data and adapting to new fraud patterns. It improves accuracy by analyzing vast amounts of transaction data for anomalies and patterns that may indicate fraud. Machine learning models can detect subtle changes in behavior, identify emerging threats, and reduce false positives, thereby enhancing the overall effectiveness of fraud prevention efforts.
What challenges do organizations face in fraud ring detection?
Organizations face challenges such as the evolving sophistication of fraud tactics, high volumes of data to analyze, and balancing false positives with missed detections. Additionally, integrating detection solutions with existing systems and ensuring compliance with regulatory standards can be complex. Continuous monitoring and adapting to new threats are essential for effective fraud ring detection.