Are These Pain Points Undermining Your Acquiring Business?
Identify and tackle core issues impacting your margins and reputation, ensuring stable growth and enhanced operational efficiency.
High Chargeback Exposure
Excessive chargebacks push acquirers toward network-imposed fines, higher reserve requirements, and damaged scheme relationships, shrinking already thin interchange margins.
Risky Merchant Onboarding
Without instant KYB verification, acquirers can approve fronts for illegal, fraudulent, or non-compliant businesses, creating downstream losses and reputational harm.
Hidden Fraud Across Portfolios
Card-not-present fraud migrates between merchants faster than legacy rules react, producing cascading losses and labor-intensive investigations.
Limited Merchant Visibility
Disparate data silos prevent acquirers from spotting volume spikes, refund abuse, or policy breaches early enough to intervene cost-effectively.
Combat Fraud Instantly with FraudNet's Advanced Solutions
Enhance acquirer resilience with proactive fraud prevention, streamlined onboarding, and comprehensive merchant oversight.
Real-Time Transaction Scoring
Millisecond AI scoring blocks CNP fraud before authorization completes.
KYB Risk Scoring & Monitoring
Automated KYB checks flag risky merchants pre- and post-onboarding.
Merchant Policy Enforcement
Live thresholds detect chargeback, refund, or volume spikes, triggering alerts.
Unified Risk Dashboard
Single view of merchants and transactions for rapid, data-driven decisions.
AI-Native Fraud Detection
Harness the power of adaptive machine learning to tackle emerging threats in real time. Our AI analyzes billions of data points daily, ensuring fraud is blocked with unmatched precision and minimal false positives, safeguarding your margins and boosting your reputation.
Comprehensive Merchant Intelligence
Gain unparalleled insights with instant access to identity, device, behavior, and financial metrics for every merchant. Enhance your underwriting precision, optimize reserve allocations, and refine portfolio segmentation to drive strategic growth while minimizing risk. Stay ahead in a competitive landscape effortlessly.
Operational Efficiency
Streamline your operations with our unified platform that consolidates alerts, case management, and reporting. Minimize manual reviews and empower your team to concentrate on driving strategic growth, enhancing efficiency, and boosting your bottom line with seamless, data-driven decision-making.
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 Acquirer AI fraud automation?
Acquirer AI fraud automation refers to the use of artificial intelligence by acquiring banks or payment processors to detect and prevent fraudulent transactions. The system analyzes vast amounts of transaction data in real-time, identifying patterns and anomalies that suggest fraudulent activity. This technology helps acquirers protect merchants, reduce chargebacks, and maintain trust in the payment ecosystem by efficiently distinguishing between legitimate and suspicious transactions.
How does AI improve fraud detection for acquirers?
AI improves fraud detection by using machine learning algorithms to analyze transaction data for patterns that indicate fraud. Unlike traditional rule-based systems, AI can adapt to new fraud tactics and learn from historical data to enhance accuracy. It processes large volumes of data in real-time, providing acquirers with timely insights and alerts about potential fraud. This results in higher detection rates, fewer false positives, and more efficient fraud prevention.
What are the benefits of using AI for fraud prevention?
Using AI for fraud prevention offers several benefits, including increased detection accuracy, reduced false positives, and enhanced scalability. AI systems can process and analyze large datasets quickly, identifying subtle patterns that human analysts might miss. This leads to faster response times and improved protection for merchants and consumers. Additionally, AI can adapt to evolving fraud tactics, making it a robust tool for long-term fraud management.
How does AI fraud automation reduce false positives?
AI fraud automation reduces false positives by employing sophisticated machine learning models that differentiate between legitimate and fraudulent transactions more accurately than traditional methods. These models continuously learn from new data, refining their predictions and reducing the likelihood of incorrectly flagging legitimate transactions. By minimizing false positives, acquirers can enhance customer satisfaction, as legitimate transactions are less likely to be interrupted, and focus resources on investigating true fraud cases.
What challenges do acquirers face when implementing AI fraud systems?
Acquirers face several challenges when implementing AI fraud systems, including data privacy concerns, integration with existing systems, and the need for continuous model training. Ensuring compliance with data protection regulations while leveraging data for fraud detection is crucial. Additionally, integrating AI solutions with legacy systems can be complex. Continuous model training is necessary to keep up with evolving fraud tactics, requiring ongoing investment in data science expertise and infrastructure.
How can acquirers measure the effectiveness of their AI fraud detection systems?
Acquirers can measure the effectiveness of AI fraud detection systems by monitoring key performance indicators such as fraud detection rates, false positive rates, and chargeback ratios. Conducting regular audits and simulations to test the system's accuracy and responsiveness is also important. Acquirers should gather feedback from merchants and customers to ensure the system balances fraud prevention with user experience. Continuous evaluation and adjustment of models ensure they remain effective against emerging fraud trends.