Is Your Fraud Prevention Strategy Falling Short?
Unify data and enhance analytics to uncover hidden threats, adapt to new tactics, and streamline compliance effortlessly.
Siloed Data Sources
Fraud, risk, and compliance teams juggle transaction, onboarding, and chargeback data in disconnected tools, making it hard to link entities and uncover cross-channel fraud patterns.
Lack of Advanced Analytics
Traditional rule engines can’t mine large, fast-moving datasets for subtle correlations, leaving analysts blind to sophisticated mule networks and first-party abuse.
Evolving Fraud Tactics
Attackers quickly adapt to static rules. Without self-learning models, new card-not-present ploys or synthetic IDs slip through unchecked, driving financial and reputational loss.
Slow, Manual Reporting
Spreadsheet-based reporting delays visibility. Leadership receives stale metrics, hindering rapid response and complicating audit prep for PCI DSS, PSD2, and other mandates.
Transform Fraud Detection with FraudNet's Cutting-Edge Solutions
Enhance your fraud prevention with real-time insights, unified data, and proactive risk management.
Advanced Fraud Analytics & Reporting
Real-time dashboards surface anomalies, KPIs, and trends instantly.
AI & Machine Learning Models
Self-learning scores flag new patterns, cutting losses and false positives.
Centralized Data Hub
Unifies internal, third-party, and global intel for a 360° risk view.
Predictive & Behavioral Insights
Behavioral signals reveal risky shifts early for proactive action.
AI-Native Real-Time Detection
FraudNet's AI-Native detection evaluates each event in milliseconds, adapting swiftly to new signals. This ensures threats are neutralized before they affect your revenue, allowing you to maintain financial security and operational efficiency effortlessly.
Unified Risk Dashboard
Experience seamless, enterprise-wide visibility with our Unified Risk Dashboard. Access transaction, entity, and policy data all in one intuitive view, empowering your team to make informed decisions swiftly and efficiently.
Lower False Positives, Faster Approvals
Streamline your fraud detection with precise modeling that reduces unnecessary reviews. Accelerate legitimate transactions and free up your analysts to focus on high-value investigations. Experience efficiency and enhanced security with FraudNet's innovative solutions.
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 a Fraud Analytics Platform?
A Fraud Analytics Platform is a set of tools and processes used to detect, analyze, and mitigate fraudulent activities. It leverages data analytics, machine learning, and real-time monitoring to identify anomalies and potential fraud across various channels and transactions. These platforms are essential for businesses to protect against financial losses and maintain trust with customers by proactively identifying and preventing fraudulent activities.
How does a Fraud Analytics Platform detect fraud?
Fraud Analytics Platforms detect fraud by analyzing large volumes of data in real-time, applying machine learning algorithms, and utilizing rule-based systems. They look for patterns, anomalies, and suspicious activities that deviate from normal behavior. The platforms can also incorporate historical data and cross-reference it with current transactions to identify potential risks, allowing organizations to respond quickly to threats and reduce false positives.
What types of fraud can a Fraud Analytics Platform identify?
A Fraud Analytics Platform can identify various types of fraud, including payment fraud, account takeover, identity theft, phishing attacks, insider threats, and transaction laundering. By monitoring multiple data sources and leveraging advanced analytics, these platforms help in recognizing fraudulent patterns across different sectors such as banking, retail, insurance, and e-commerce.
Why is real-time monitoring important in fraud detection?
Real-time monitoring is crucial in fraud detection as it allows organizations to quickly identify and respond to suspicious activities before they result in significant financial loss. By analyzing transactions as they occur, Fraud Analytics Platforms can immediately flag unusual behavior, enabling businesses to take swift action to prevent fraud and protect customer accounts, thereby reducing potential damage and enhancing security.
How does machine learning enhance fraud detection?
Machine learning enhances fraud detection by enabling Fraud Analytics Platforms to adapt and learn from new data patterns. It helps in identifying complex fraud schemes that traditional methods might miss by continuously improving its algorithms based on historical and current data. Machine learning models can process vast amounts of data quickly, making them highly effective in predicting and preventing fraud with greater accuracy and reduced false positives.
What are the benefits of using a Fraud Analytics Platform?
Using a Fraud Analytics Platform provides several benefits, including enhanced security by quickly identifying and mitigating fraud risks, reduced financial losses, improved compliance with regulatory requirements, and increased trust from customers. These platforms offer scalability to handle large volumes of transactions and flexibility to adapt to evolving fraud tactics. Additionally, they provide valuable insights through data analytics, helping organizations make informed decisions and improve their overall fraud prevention strategies.