Are Rising Risks and Hidden Threats Chipping Away at Your Business?
Uncover and mitigate risks early to protect your margins, enhance bank relationships, and ensure regulatory compliance.
High Chargeback Exposure
Rising dispute ratios trigger card-network fines and holdbacks, directly eroding your acquiring margins and damaging sponsor-bank relationships.
Onboarding Risk Of High-Risk Merchants
Without real-time KYB, you may unknowingly board shell companies or illicit actors, exposing your portfolio to regulatory penalties and reputational loss.
Fraudulent Transactions Across Portfolios
CNP fraud, refund abuse, and bot attacks spread across multiple MIDs faster than manual teams can detect, inflating your fraud-loss reserves.
Lack Of Merchant Behavior Visibility
Fragmented data hides early signals—surging refunds, sudden volume shifts—preventing you from acting before risk thresholds are breached.
Transform Your Risk Strategy with FraudNet Solutions
Protect your margins and reputation with proactive risk management and instant fraud prevention for acquirers.
Merchant Policy Monitoring
Flag chargeback spikes and policy breaches instantly.
KYB Risk Scoring
Score new merchants using identity, device, and behavior data.
Millisecond Transaction Monitoring
Score CP and CNP payments in <300ms to block fraud.
Merchant Dashboard
Visualize risk trends by MID, volume, and geography.
AI-Native Real-Time Detection
FraudNet's AI-driven real-time detection scores every transaction in milliseconds, leveraging global intelligence to intercept evolving threats before they impact your bottom line. Safeguard your portfolio with precision and keep fraudulent activity at bay, ensuring seamless transactions for your merchants.
Unified Merchant 360° View
Gain a comprehensive, single-pane view of KYB, transaction, and chargeback data for each MID. This unified dashboard empowers you to make faster, more informed decisions, enabling proactive engagement with merchants and reducing risks across your entire portfolio.
Explainable Scores & Alerts
Gain the trust of analysts, auditors, and merchants with transparent risk factors and clear narratives. Empower your team to make confident, informed decisions quickly, enhancing trust and efficiency across your operations while mitigating risks and building stronger, more reliable relationships with your clients.
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
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by Industry Analysts
Related Resources
Other Services
FAQs
What is Acquirer AI risk scoring?
Acquirer AI risk scoring is a method used by payment acquirers to assess the risk level associated with transactions and merchants. By leveraging artificial intelligence and machine learning algorithms, acquirers can analyze transaction data to identify potential fraud or non-compliance. This scoring helps acquirers make informed decisions about accepting, declining, or further reviewing a transaction, thus enhancing security and minimizing financial losses.
How does Acquirer AI risk scoring work?
Acquirer AI risk scoring works by analyzing vast amounts of transaction data using AI and machine learning models. These models evaluate various factors, such as transaction history, merchant behavior, and customer patterns, to identify anomalies and predict potential risk levels. The system assigns a risk score to each transaction, enabling acquirers to quickly determine the likelihood of fraud or suspicious activity and take appropriate action.
What are the benefits of using AI for risk scoring?
Using AI for risk scoring offers several benefits, including improved accuracy in fraud detection, faster processing of transactions, and the ability to handle large volumes of data efficiently. AI models can adapt and learn from new data, continuously improving their predictive capabilities. This leads to reduced false positives, better customer experience, and decreased financial losses for acquirers by enabling more effective and timely decision-making.
What challenges might acquirers face with AI risk scoring?
Acquirers may face challenges such as data privacy concerns, the need for significant computational resources, and the complexity of integrating AI systems into existing infrastructure. Additionally, maintaining the accuracy of AI models requires continuous updates and monitoring to adapt to evolving fraud patterns. Ensuring that AI systems are transparent and explainable is also crucial to build trust with stakeholders and comply with regulatory requirements.
How can acquirers ensure the effectiveness of AI risk scoring?
To ensure the effectiveness of AI risk scoring, acquirers should regularly update their AI models with the latest data and adjust them to reflect emerging fraud trends. Implementing robust data management practices and ensuring data quality is essential. Acquirers should also conduct regular performance evaluations and collaborate with AI experts to refine their models. Additionally, maintaining transparency and explainability in AI decision-making processes helps build trust and ensures compliance with regulations.
What role does data play in Acquirer AI risk scoring?
Data plays a critical role in Acquirer AI risk scoring, as it serves as the foundation for training and refining AI models. High-quality, comprehensive data allows the models to accurately identify patterns and anomalies indicative of fraud. Acquirers must ensure they have access to diverse datasets, including historical transaction data, merchant profiles, and customer behavior, to enhance the accuracy and reliability of their risk scoring systems.