Are You Struggling with High Chargeback Exposure and Onboarding Risks?
Protect revenue and reputation with proactive risk management, reducing chargebacks and onboarding only trustworthy merchants.
High Chargeback Exposure
Acquirers shoulder costly chargebacks and network fines when merchants exceed thresholds, draining revenue and inviting regulator scrutiny.
Onboarding Risk of High-Risk Merchants
Without instant KYB insight, Acquirers may approve shell or illicit businesses, exposing portfolios to fraud, AML breaches, and brand damage.
Fraudulent Transactions Across Portfolios
Detecting card-not-present (CNP) fraud in real time is difficult at Acquirer scale, letting coordinated attacks cascade across many merchants before action is taken.
Lack of Merchant Behavior Visibility
Fragmented data hides early risk signals, preventing Acquirers from spotting abnormal refund spikes, friendly fraud, or policy abuse quickly.
FraudNet Solutions: Safeguard Your Portfolio Instantly
FraudNet empowers Acquirers to cut chargebacks, prevent fraud, and onboard safely with real-time insights.
Merchant Policy Monitoring
Live chargeback, refund, and volume alerts halt losses instantly.
KYB Risk Scoring
Dynamic screening scores flag risky merchants on day one.
Transaction Monitoring in Milliseconds
Card-present and card-not-present risk scoring stops fraud before authorization clears.
Merchant Dashboard
Unified view surfaces trends, violations, and risk anomalies fast.
Real-Time Policy Monitoring
Monitor chargeback ratios, refund spikes, and decline surges in real-time. Empower your team to intervene swiftly, preventing costly network penalties and safeguarding your reputation. Stay one step ahead with proactive insights that ensure compliance and protect your bottom line.
Enhanced KYB Risk Scoring
FraudNet meticulously analyzes identity, device, and business data, swiftly identifying questionable applicants. This ensures that as an Acquirer, you only onboard merchants who align with your risk tolerance, safeguarding your portfolio from fraud, regulatory breaches, and potential brand damage from day one.
Instantaneous Transaction Monitoring
Experience unparalleled fraud prevention with our AI-Native scoring system, which analyzes every CP and CNP transaction in milliseconds. Protect your portfolio from fraudulent activity without disrupting legitimate transactions, ensuring seamless operations while maintaining the security and integrity of your payment processing.
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 some common signs of evolving fraud tactics targeting acquirers?
Evolving fraud tactics often involve more sophisticated methods such as synthetic identities, advanced phishing schemes, and the use of AI-generated deepfakes. Acquirers should watch for unusual transaction patterns, rapid changes in transaction behavior, and inconsistencies in customer information. Enhanced data analytics and machine learning can help in identifying these subtle indicators, allowing acquirers to mitigate risks more effectively.
How can acquirers stay ahead of evolving fraud tactics?
Acquirers can stay ahead by investing in advanced fraud detection technologies, such as machine learning and AI, which can analyze large volumes of data for anomalies. Regularly updating fraud prevention protocols and staff training on emerging threats are crucial. Collaborating with industry partners and sharing threat intelligence can also enhance acquirers' ability to anticipate and respond to new fraud tactics.
What role does machine learning play in combating fraud for acquirers?
Machine learning plays a crucial role in combating fraud by enabling acquirers to analyze vast datasets in real-time, identifying patterns that may indicate fraudulent activity. These systems can adapt to new fraud tactics by learning from past data, improving their accuracy over time. Machine learning models can also reduce false positives, enhancing the efficiency of fraud detection processes and allowing acquirers to focus on more serious threats.
How can acquirers improve their fraud detection systems?
Acquirers can improve their fraud detection systems by incorporating multi-layered security strategies, such as biometric authentication, tokenization, and encryption. Regularly updating these systems to address new vulnerabilities is essential. Implementing real-time monitoring and alert systems, along with conducting regular audits and simulations to test the effectiveness of current measures, can also strengthen acquirers' defenses against evolving fraud tactics.
What impact does regulatory compliance have on acquirers' fraud prevention efforts?
Regulatory compliance plays a significant role in shaping acquirers' fraud prevention strategies. Compliance with standards like PCI DSS ensures that acquirers maintain a baseline of security measures. Regulations often require acquirers to implement specific technologies and protocols, which can enhance their fraud detection capabilities. However, staying compliant also means navigating complex legal requirements, which can sometimes limit the speed at which new technologies are adopted.
What is transaction laundering, and how can acquirers detect it?
Transaction laundering occurs when a merchant processes payments for illicit goods or services through a legitimate account, masking the true nature of the transactions. Acquirers can detect transaction laundering by employing advanced analytics to monitor transaction patterns and cross-referencing with known high-risk industries. Enhanced due diligence during the onboarding process and ongoing surveillance of merchant activities can also help in identifying potential transaction laundering schemes.