Is Your Business Struggling with These Common Payment Processing Challenges?
Uncover hidden risks, enhance decision-making, and protect profit margins by addressing critical payment processing challenges head-on.
High Chargeback Exposure
Rising dispute volumes trigger network fines and erode acquirer profit margins, yet manual reviews delay mitigation.
Onboarding Risk of High-Risk Merchants
Limited real-time KYB tools allow shell companies, illegal goods, and sanctioned entities into your portfolio.
Fraudulent Transactions Across Portfolios
Card-not-present fraud propagates across multiple merchants faster than legacy rules can detect or block it.
Lack of Merchant Behavior Visibility
Siloed data obscures spikes in refunds, declines, or volume that signal emerging risk within individual merchants.
Combat Fraud with FraudNet: Instant, Intelligent Solutions
FraudNet empowers acquirers with real-time insights and tools to mitigate risks and enhance profitability.
Merchant Policy Monitoring
Real-time alerts when chargeback, refund, or volume limits are breached.
KYB Risk Scoring
Instantly flag high-risk applicants using identity, device, and business data.
Transaction Monitoring in Milliseconds
ML scores each CP/CNP payment in ms to stop fraud pre-authorization.
Merchant Dashboard
Unified view of merchant health, trends, alerts and cases.
Enhanced Fraud Detection
With FraudNet’s AI-Native models, acquirers gain the power to score every transaction and merchant action in real time. This precision reduces false positives and preempts emerging threats, safeguarding your authorization rates and fortifying your financial ecosystem against fraud.
Improved Operational Efficiency
Transform your operations with integrated case management, dynamic rules, and automated alerts. Say goodbye to manual spreadsheet checks and hello to streamlined processes that cut analyst workloads and accelerate your response time from days to mere seconds, enhancing your acquirer efficiency.
Comprehensive Risk Visibility
Gain comprehensive oversight with our unified dashboard, offering portfolio, merchant, and transaction-level insights. Prioritize investigations and enforce policies effectively while ensuring regulatory compliance with detailed, auditable evidence. Streamline your operations and enhance decision-making with seamless, real-time data visibility.
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 fraud management inefficiency?
Acquirer fraud management inefficiency refers to the inability of transaction acquirers, such as banks or payment processors, to effectively detect, prevent, and manage fraudulent activities. This inefficiency can result from outdated technology, insufficient data analysis, inadequate staff training, or lack of robust fraud detection protocols. It poses risks of financial loss, reputational damage, and regulatory non-compliance for the acquirer, affecting their operational efficiency and customer trust.
What causes acquirer fraud management inefficiency?
Several factors contribute to acquirer fraud management inefficiency, including outdated systems that fail to keep up with evolving fraud tactics, insufficient integration of fraud detection tools, lack of real-time data analysis, and inadequate training for staff. Additionally, poor communication between departments and a lack of investment in advanced technologies like machine learning can hinder an acquirer's ability to effectively manage fraud, leading to higher risks and financial losses.
How can acquirers improve their fraud management systems?
Acquirers can enhance their fraud management systems by investing in advanced technologies such as AI and machine learning for real-time fraud detection and analysis. Implementing multi-layered security measures, fostering a culture of continuous staff training, and ensuring seamless integration of fraud management tools across all platforms are also crucial. Regularly updating fraud detection protocols and collaborating with industry partners for shared intelligence can further bolster an acquirer’s ability to efficiently manage and mitigate fraud risks.
What are the consequences of inefficiency in acquirer fraud management?
Inefficiency in acquirer fraud management can lead to significant financial losses due to undetected fraudulent activities and chargebacks. It can damage the acquirer's reputation, erode customer trust, and result in legal and regulatory challenges. Additionally, inefficiency can increase operational costs due to manual intervention and resource allocation in managing fraud cases. Long-term consequences may include losing competitive advantage and market share as more efficient competitors attract and retain customers.
How does technology play a role in reducing fraud management inefficiency?
Technology plays a crucial role in reducing fraud management inefficiency by providing advanced tools for real-time data analysis and fraud detection. Machine learning algorithms can identify and adapt to new fraud patterns, while AI-driven systems enhance decision-making processes. Automation reduces manual effort, speeds up fraud response times, and minimizes human error. Additionally, technology facilitates better integration across platforms, enabling acquirers to have a unified and comprehensive view of transactions and potential fraud, thereby improving overall efficiency.
What are the best practices for acquirers to minimize fraud management inefficiency?
To minimize fraud management inefficiency, acquirers should adopt best practices such as implementing robust, multi-layered security measures and employing advanced fraud detection technologies like AI and machine learning. Regular staff training and updates on emerging fraud trends are essential. Developing strong internal communication and collaboration protocols ensures a quick response to potential threats. Additionally, acquirers should engage in industry collaboration for shared intelligence and continuously review and update their fraud management strategies to stay ahead of fraudsters.