Is Your Acquiring Business Struggling with These Critical Challenges?
Identify and address key challenges that threaten your margins, compliance, and merchant relationships to safeguard your business.
High Chargeback Exposure
Acquirers absorb costly chargebacks and network fines when fraudulent sales slip through, eroding margins and straining merchant relationships.
Onboarding Risk of High-Risk Merchants
Without real-time KYB, acquirers may approve merchants engaged in illegal or non-compliant activity, inviting regulatory scrutiny and reputational damage.
Fraudulent Transactions Across Portfolios
Card-not-present fraud spreads quickly across diverse merchant portfolios, yet legacy tools lack the speed and intelligence to stop threats before authorization.
Limited Visibility Into Merchant Behavior
Fragmented data makes it hard for acquirers to spot sudden spikes in refunds, MCC changes, or velocity abuses that signal emerging risk.
Transform Merchant Security with FraudNet's Innovative Solutions
FraudNet empowers acquirers with real-time insights, reducing fraud risks and enhancing merchant relationships effortlessly.
Real-Time Transaction Screening
Millisecond decisioning blocks suspect CNP activity before authorization.
Automated Merchant KYB
Instant entity checks flag high-risk applicants during onboarding.
Portfolio Behavioral Analytics
Cross-merchant insights surface chargeback and refund anomalies.
Integrated Chargeback Management
Consolidated workflows speed dispute handling and recovery.
AI-Native Fraud Detection
FraudNet’s AI-driven models process billions of signals instantly, ensuring acquirers can effectively minimize false positives while halting emerging fraud tactics. Protect your entire merchant portfolio with cutting-edge technology that adapts in real time to evolving threats.
Unified Case & Workflow Console
Streamline your operations with a unified dashboard that connects alerts, evidence, and dispute data. Enable your analysts to quickly triage cases and collaborate effortlessly with merchants and networks, enhancing efficiency and reducing the time to resolve disputes.
Built-In Compliance & Reporting
Stay effortlessly compliant with our automated audit trails, comprehensive rule libraries, and intuitive regulatory dashboards. These features ensure you're always aligned with card-network mandates and regional laws, minimizing the risk of fines and safeguarding your reputation. Keep your operations smooth and penalty-free.
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 end-to-end fraud management?
Acquirer end-to-end fraud management refers to the comprehensive processes and technologies implemented by acquiring banks to detect, prevent, and mitigate fraud throughout the entire transaction lifecycle. This includes monitoring transactions from the point of sale to settlement, employing tools such as real-time analytics, machine learning algorithms, and behavioral analysis to identify suspicious activities and minimize fraud risks effectively.
How does machine learning enhance fraud detection for acquirers?
Machine learning enhances fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraudulent behavior. It enables acquirers to dynamically adapt to evolving fraud tactics by continuously learning from new data. Machine learning models can process complex datasets faster and more accurately than traditional rule-based systems, reducing false positives and improving the overall efficiency of fraud management processes.
What are the key components of a robust fraud management system for acquirers?
A robust fraud management system for acquirers typically includes real-time transaction monitoring, advanced data analytics, machine learning models, and a comprehensive reporting framework. It should also integrate with external data sources for enriched information, provide automated alerts for suspicious activities, and allow for customizable rules and thresholds. Additionally, it should support seamless collaboration between fraud analysts and other stakeholders to ensure prompt and effective response to potential threats.
How can acquirers balance fraud prevention with a positive customer experience?
Acquirers can balance fraud prevention with a positive customer experience by implementing frictionless authentication methods, such as biometric verification and tokenization, which enhance security without disrupting the transaction process. They should also employ adaptive risk-based authentication strategies that assess the risk level of transactions in real-time, allowing low-risk transactions to proceed smoothly while scrutinizing high-risk ones. Clear communication and transparency about security measures can also help build customer trust and confidence.
What role does data analytics play in acquirer fraud management?
Data analytics plays a crucial role in acquirer fraud management by enabling the identification of trends, patterns, and anomalies that may indicate fraudulent activity. By analyzing transaction data in real-time, acquirers can quickly detect and respond to suspicious activities. Advanced analytics tools also allow for the segmentation of data to understand specific fraud tactics better and enhance decision-making processes. Overall, data analytics helps in optimizing the detection and prevention strategies, making them more effective and efficient.
Why is collaboration important in managing fraud across the payment ecosystem?
Collaboration is vital in managing fraud across the payment ecosystem because it fosters the sharing of intelligence and best practices among acquirers, issuers, merchants, and service providers. By working together, these entities can gain a comprehensive view of fraud trends and tactics, allowing for a more coordinated and effective response. Collaborative efforts, such as information sharing networks and industry forums, enhance the ability to identify and combat emerging threats, leading to a more secure payment environment for all stakeholders.