Are High Chargebacks and Fraudulent Transactions Threatening Your Business?
Protect your business with proactive risk management, reducing chargebacks and fraud while safeguarding your brand's reputation and profitability.
High Chargeback Exposure
Rising dispute ratios trigger network fines and claw back fees from acquirers, shrinking margins and damaging your brand’s standing with Visa and Mastercard.
Onboarding Risk of High-Risk Merchants
Without continuous KYB insight, you may unknowingly activate merchants tied to illicit or non-compliant activity, inviting regulatory penalties and write-offs.
Fraudulent Transactions Across Portfolios
Card-not-present fraud propagates quickly across hundreds of merchant IDs, creating widespread losses before manual reviews can react.
Lack of Merchant Behavior Visibility
Fragmented data makes it hard to spot unusual refund rates, traffic surges, or country mismatches early, limiting proactive risk controls.
Fraudnet: Empowering Secure Transactions with Smart Solutions
Fraudnet empowers acquirers to minimize chargebacks and fraud, safeguarding profits and strengthening brand reputation.
Merchant Policy Monitoring
Real-time alerts flag chargeback spikes, enabling instant merchant outreach.
KYB Risk Scoring
Dynamic KYB scoring blocks risky merchants before accounts are activated.
Transaction Monitoring in Milliseconds
Sub-second ML scoring stops CNP fraud at authorization.
Merchant Dashboard
Live dashboard centralizes merchant risk metrics and trend analysis.
Enhanced Fraud Detection
Harness the power of AI-native models that scrutinize each transaction in milliseconds, uncovering elusive cross-merchant fraud patterns. Empower your operations to reject fraudulent traffic seamlessly, ensuring genuine sales continue to flourish without disruption, thereby safeguarding your profits and reputation.
Improved Operational Efficiency
Streamline your operations with automated monitoring and case management. Our solution reduces manual reviews, lightens analyst workload, and slashes investigation costs, all while ensuring you meet stringent SLAs. Enhance efficiency and focus on strategic growth rather than operational bottlenecks.
Comprehensive Merchant Monitoring
Gain a complete, real-time perspective of each merchant’s activity, including chargebacks, refunds, and policy breaches. Our always-on screening empowers acquirers to make swift, informed decisions, enhancing risk management and fostering stronger merchant relationships while safeguarding your financial ecosystem.
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 real-time analytics?
Acquirer real-time analytics refers to the process where acquiring banks or financial institutions analyze transaction data as it occurs. This enables them to make immediate decisions on transactions, detect fraud, optimize transaction approvals, and improve customer experience by reducing false declines. It involves the use of advanced algorithms and machine learning to process large volumes of data quickly and efficiently.
Why is real-time analytics important for Acquirers?
Real-time analytics is crucial for acquirers because it allows them to respond instantly to potential fraud, ensuring the security and integrity of transactions. It enhances decision-making by providing immediate insights into transaction patterns and customer behavior, which can improve approval rates and reduce chargebacks. Additionally, it helps in maintaining customer trust by minimizing false declines and ensuring smooth transaction experiences.
How does real-time analytics help in fraud detection?
Real-time analytics helps in fraud detection by continuously monitoring transactions as they happen. It uses sophisticated algorithms and machine learning models to identify unusual patterns or anomalies that may indicate fraudulent activity. By doing so, it allows acquirers to flag and review suspicious transactions immediately, potentially preventing fraud before it occurs and reducing financial losses associated with such activities.
What technologies are used in Acquirer real-time analytics?
Acquirer real-time analytics employs a range of technologies, including big data platforms, machine learning algorithms, artificial intelligence, and cloud computing. These technologies work together to process and analyze vast amounts of transaction data swiftly. Machine learning models are particularly valuable as they can adapt and improve over time, offering more accurate predictions and insights into transaction behaviors and potential risks.
How can Acquirers implement real-time analytics effectively?
To implement real-time analytics effectively, acquirers should invest in scalable infrastructure that can handle high transaction volumes. They should integrate advanced machine learning models that can learn from data patterns and adapt to new fraud techniques. Collaborating with technology providers specializing in payment analytics can also provide the necessary expertise and tools. Regularly updating models and systems to reflect the latest fraud trends is also crucial for maintaining effectiveness.
What are the challenges associated with Acquirer real-time analytics?
Challenges include managing the vast volume of data generated by transactions, ensuring data privacy and security, and the complexity of integrating analytics systems with existing IT infrastructure. Additionally, developing and maintaining sophisticated models that can accurately predict fraudulent activity without increasing false positives is a significant challenge. Continuous updates and training of machine learning models are necessary to keep up with evolving fraud tactics and changing transaction patterns.