Are Manual Reviews and Fragmented Data Holding Back Your Payment Process?
Streamline approvals and reduce costs by eliminating manual bottlenecks and unifying your fragmented payment data into one seamless system.
Manual Review Bottlenecks
Analysts sift through thousands of transactions by hand, slowing approvals and delaying fund settlement, which frustrates merchants and raises operating costs.
High False-Positive Rates
Overly rigid rules decline legitimate cards, shrinking your authorization rate, driving customer churn, and handing revenue to competing processors.
Fragmented Payment Data
Gateway logs, issuer alerts, and chargeback systems sit in silos, hiding cross-channel fraud patterns and forcing you to stitch evidence together manually.
Evolving Compliance Pressure
PCI DSS, AML, and regional mandates keep changing; missed filings or incomplete audits expose you to steep fines and lost partner trust.
Transform Your Fraud Management with FraudNet's Cutting-Edge Solutions
Streamline your payment process, boost approval rates, and enhance compliance with FraudNet solutions.
Real-Time AI Scoring
Blocks fraud in milliseconds, slashing manual reviews.
Unified Data Hub
Consolidates all payment data into one investigative view.
Automated Case Routing
Auto-assigns tasks, closing cases 3× faster.
One-Click Compliance Reports
Generates regulator-ready SAR and PCI reports on demand.
Adaptive, AI-Native Detection
FraudNet adapts to your dynamic transaction landscape, providing lightning-fast risk scores that halt new fraud threats while ensuring legitimate transactions pass smoothly. This means increased authorization rates and happier customers, giving you a competitive edge in the payment processing industry.
End-to-End Investigation Console
Streamline your fraud investigations with an all-in-one console that seamlessly integrates alerts, evidence, and chargeback data. Empower your analysts to resolve cases faster and reduce investigation times by up to 60%, enhancing efficiency and boosting your bottom line.
Built-In Regulatory Safeguards
Stay effortlessly compliant with PCI DSS, AML, and PSD2 through our pre-configured rule sets and automated filings. Our built-in regulatory safeguards eliminate paperwork, allowing your team to focus on growth and efficiency while maintaining partner trust and avoiding costly fines.
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 initial steps in a payment processor fraud investigation workflow?
The initial steps typically involve identifying and flagging suspicious transactions through automated detection systems. This may include analyzing transaction patterns for anomalies, such as unusual transaction amounts, locations, or frequencies. Once flagged, these transactions are subjected to a preliminary review by a fraud analyst to determine whether further investigation is needed. The goal is to quickly assess potential fraud without causing unnecessary disruption to legitimate transactions.
How does machine learning play a role in fraud detection?
Machine learning algorithms are pivotal in fraud detection as they can analyze vast amounts of transaction data to identify patterns and anomalies indicative of fraudulent activity. These algorithms learn from historical data to improve their accuracy over time, enabling them to predict and flag suspicious transactions more effectively. By adapting to new fraud tactics, machine learning helps maintain the robustness of fraud detection systems and reduces false positives.
What is the role of a fraud analyst in the investigation process?
A fraud analyst plays a crucial role in reviewing flagged transactions to determine their legitimacy. They analyze the context of transactions, assess risk factors, and use their expertise to identify potential fraud. Fraud analysts may also communicate with customers and merchants to verify transaction authenticity. Their insights contribute to refining detection systems and developing strategies to mitigate future fraud risks, ensuring a proactive approach to fraud prevention.
How do payment processors collaborate with financial institutions during investigations?
Payment processors collaborate with financial institutions by sharing information about suspicious transactions and patterns of fraudulent activity. This collaboration may involve joint investigations, where both parties work together to gather evidence and identify fraudsters. By pooling resources and knowledge, payment processors and financial institutions can enhance their detection capabilities, streamline investigations, and improve their ability to recover funds and prevent future fraud.
What measures are taken to ensure customer data privacy during fraud investigations?
To ensure customer data privacy, payment processors implement strict data protection protocols during fraud investigations. This includes using encryption to secure sensitive information, restricting access to authorized personnel only, and adhering to regulatory compliance standards such as PCI DSS. Additionally, fraud investigations are conducted with transparency and accountability, ensuring that customers are informed about how their data is used and protected throughout the process.
How are false positives managed in fraud detection systems?
False positives, where legitimate transactions are incorrectly flagged as fraudulent, are managed through continuous refinement of detection algorithms and manual reviews by fraud analysts. Feedback from these reviews is used to adjust the thresholds and rules of detection systems. Additionally, customer feedback is solicited to further enhance system accuracy. Balancing sensitivity with precision is crucial to minimizing false positives and ensuring a seamless experience for legitimate users while maintaining robust fraud protection.