Is Your Business Struggling with These Fraud Challenges?
Protect your revenue and reputation by addressing these challenges with smarter fraud prevention and seamless customer experiences.
Exploding Card-Not-Present Attack Volume
Online spending keeps climbing, and so do bot attacks, account takeovers, and synthetic IDs. Without adaptive controls, you face rising chargebacks, revenue loss, and reputational harm.
High False-Positive Declines
Rules-based tools often mislabel legitimate buyers. Unnecessary declines frustrate your customers, inflate cart abandonment, and quietly divert loyal shoppers to competitors.
Siloed Data Across Payment Channels
Web, mobile, and call-center payments live in separate systems. Fragmented signals create blind spots fraudsters exploit and make holistic reporting nearly impossible.
Manual Review Overload
Analysts juggle spreadsheets and disjointed dashboards, spending hours per case. Slow responses let fraud through while pushing investigation costs sky-high.
Revolutionizing Fraud Prevention with Intelligent Solutions
Improve security and efficiency with Fraudnet: real-time detection, unified data, intelligent decisions, and automation.
Real-Time AI-Native Scoring
Scores every CNP payment in milliseconds, blocking attacks before authorization completes.
Unified Data Hub
Fuses device, behavior, and external intelligence to give each decision full context.
Intelligent Risk Decisioning
Auto-approves, challenges, or declines with configurable rules plus machine scoring.
Automated Case Management
Queues, assigns, and tracks cases in one dashboard, cutting manual workload and SLAs.
Millisecond Fraud Blocking
Experience seamless protection with AI-Native models that instantly analyze thousands of signals, effectively blocking card-not-present threats. Enjoy secure transactions without any slowdown at checkout, ensuring your customers have a smooth, hassle-free experience.
92% Fewer False Positives
Adaptive risk scoring reduces false declines by up to 92%, enhancing customer satisfaction and boosting conversion rates. Experience seamless transactions that keep your loyal customers happy and ensure they return, without the frustration of unnecessary declines.
Scalable, Low-Touch Operations
Effortlessly scale during peak seasons with FraudNet’s automated workflows and unified dashboard. Streamline manual reviews, free your team for strategic tasks, and enhance operational efficiency.
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 is Card Not Present (CNP) fraud?
CNP fraud occurs when a transaction is made without the physical card being present, typically online or over the phone. Fraudsters use stolen card information to make unauthorized purchases, exploiting the lack of physical verification. This type of fraud is challenging to detect and can lead to significant financial losses for businesses.
How does Card Not Present Fraud Detection Software work?
The software uses machine learning algorithms, behavioral analytics, and real-time data to identify suspicious patterns and anomalies in transactions. It analyzes factors like transaction velocity, location, device fingerprinting, and user behavior to distinguish between legitimate and fraudulent activities, alerting businesses to potential risks.
What are the main benefits of using fraud detection software?
Fraud detection software helps reduce financial losses by identifying fraudulent transactions before they are processed. It enhances customer trust by protecting their sensitive information and improves operational efficiency by automating the detection process. Additionally, it reduces the need for manual reviews, allowing businesses to focus on genuine transactions.
Can fraud detection software integrate with existing systems?
Yes, most fraud detection systems are designed to integrate seamlessly with existing e-commerce platforms, payment gateways, and financial management systems. They offer APIs and plugins that allow businesses to incorporate the software into their existing infrastructure without significant changes, providing a streamlined approach to fraud prevention.
How does machine learning enhance fraud detection?
Machine learning enhances fraud detection by continuously learning from new data and adapting to emerging fraud patterns. It improves accuracy over time by analyzing vast amounts of transaction data, identifying complex patterns, and predicting fraudulent activities before they occur. This adaptability makes it effective against evolving fraud tactics.
Is Card Not Present Fraud Detection Software suitable for small businesses?
Yes, CNP fraud detection software is suitable for businesses of all sizes. Many providers offer scalable solutions that accommodate the specific needs and budgets of small businesses. Implementing such software helps small businesses protect themselves from fraud-related losses and maintain customer trust, which is crucial for their growth and reputation.