Is Your Fraud Prevention Strategy Costing You More Than It’s Saving?
Streamline your fraud prevention to cut costs, improve efficiency, and protect revenue with an integrated, responsive solution.
Fragmented Fraud Tools
Disparate point solutions force you to juggle data and dashboards, driving manual effort, blind spots, and higher operating costs.
High False Positives
Over-zealous rules flag legitimate customers, lowering approval rates, damaging UX, and overwhelming analysts with needless reviews.
Slow, Inconsistent Decisioning
Latency between data intake, scoring, and case review delays responses, allowing fraud to slip through while honest buyers wait.
Growing Fraud Complexity
Account takeovers, synthetic IDs, and multi-channel attacks evolve faster than legacy systems, exposing you to rising loss and compliance risk.
Streamline Security with Fraudnet's Cutting-Edge Solutions
Optimize fraud prevention with Fraudnet: reduce costs, enhance security, and streamline operations with ease.
Unified Fraud Management
One dashboard for all channels reduces silos and manual reconciliation.
Real-Time Detection
AI-native scoring spots and blocks threats in milliseconds.
Advanced False-Positive Control
Adaptive models raise approval rates while easing analyst workload.
Entity-Centric Visibility
360° profiles link identities, behaviors, and devices for deeper insight.
AI-Native Real-Time Analysis
Stay ahead of fraud with FraudNet's AI-native real-time analysis. Instantly score transactions, logins, and account actions to block threats before they hit your bottom line. Enhance efficiency and protect your business with precision and speed.
Reduction in False Positives
FraudNet’s machine-learning models slash false positives by up to 92%, enhancing customer retention and allowing analysts to focus on high-value tasks. Experience greater efficiency and satisfaction with streamlined fraud prevention.
Unified Case Management Dashboard
Strengthen your compliance with FraudNet's seamless alert handling, evidence capture, and audit trails. Streamline investigations and maintain readiness, empowering your team to focus on what truly matters.
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 is a Fraud Management Platform?
A Fraud Management Platform is a comprehensive solution designed to identify, prevent, and respond to fraudulent activities. It uses advanced analytics, machine learning, and real-time monitoring to detect anomalies and suspicious patterns in transactions, helping businesses mitigate risks and protect assets.
How does a Fraud Management Platform detect fraud?
Fraud Management Platforms use a combination of machine learning algorithms, rule-based systems, and behavioral analytics to identify suspicious activity. They analyze transaction data, user behavior, and historical patterns to detect anomalies and flag potential fraud in real time.
Why is real-time fraud detection important?
Real-time fraud detection is crucial because it allows for immediate identification and response to fraudulent activities. This minimizes financial losses, protects sensitive data, and enhances customer trust by preventing fraud before it affects the business or its customers.
Can a Fraud Management Platform integrate with existing systems?
Yes, most Fraud Management Platforms are designed to integrate seamlessly with existing systems such as payment gateways, e-commerce platforms, and customer databases. This integration allows for continuous monitoring and analysis of transactions across various channels.
What types of fraud can a Fraud Management Platform detect?
Fraud Management Platforms can detect various types of fraud, including credit card fraud, identity theft, account takeovers, phishing, and transaction laundering. They are equipped to handle both common and sophisticated fraud schemes.
How does machine learning enhance fraud detection?
Machine learning enhances fraud detection by continuously learning from new data and adapting to evolving fraud patterns. It improves accuracy by identifying subtle changes in behavior and transaction patterns, enabling the platform to detect new and emerging threats more effectively.