Is Your Payment Processing Hampered by These Critical Challenges?
Streamline your operations and protect your profits by overcoming fragmented oversight, chargeback exposure, and manual risk assessments.
Fragmented Merchant Oversight
Large, diverse portfolios force PSPs to juggle multiple data silos, making it hard to see risky trends early or apply consistent controls across every merchant.
Chargeback Exposure
High dispute ratios breach card-network thresholds, invite fines, and erode margins—yet many PSPs spot problems only after monthly reports arrive.
Manual KYB Risk Assessments
Spreadsheet-driven onboarding slows revenue, leaves gaps in ownership checks, and increases the chance that bad actors slip through undetected.
Insufficient Real-Time Risk Visibility
Without a unified dashboard, PSPs cannot correlate transaction spikes, suspicious behaviors, and merchant history quickly enough to act in live payment flows.
Transform Merchant Oversight with FraudNet's Cutting-Edge Solutions
Simplify operations and enhance security with FraudNet, empowering PSPs to tackle critical payment challenges.
Policy Monitoring
Enforce real-time chargeback, refund, and limit rules per merchant.
Transaction Screening
Score every transaction in ms to block fraud before authorization.
KYB Automation
Automate layered KYB checks for instant, compliant onboarding.
Risk Tiering & Scoring
Continuously rank merchants by risk to trigger targeted reviews.
AI-Native Real-Time Detection
FraudNet's AI-driven technology swiftly analyzes thousands of signals in milliseconds, preventing CNP and CP fraud before authorization. This ensures you protect your revenue streams seamlessly, without adding friction, allowing Payment Service Providers to maintain smooth, secure transactions and enhance customer trust.
Proactive Compliance Assurance
Stay audit-ready and protect your acquiring licenses with ease. Our continuous monitoring ensures compliance with AML, PCI-DSS, and card-network rules, reducing the risk of regulatory fines. Safeguard your operations and maintain trust, while focusing on growing your payment services seamlessly.
Operational Efficiency & Scale
Streamline your operations with our cloud-based console that integrates analytics, case management, and reporting. Empower your team to handle increasing transaction volumes efficiently, reducing the need for manual reviews and allowing you to scale seamlessly while maintaining control and oversight.
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 PSP real-time analytics?
PSP real-time analytics refers to the use of data analysis tools by Payment Service Providers to process and analyze transaction data as it occurs. This capability allows PSPs to monitor transactions instantly, identify fraudulent activities, enhance user experiences, and optimize payment processes by providing insights into transaction trends and customer behaviors, leading to quicker decision-making and improved service offerings.
Why is real-time analytics important for PSPs?
Real-time analytics is crucial for PSPs because it enables them to detect and respond to fraudulent activities almost instantly, minimizing financial losses and enhancing security. Additionally, it allows for the optimization of transaction processes and improves customer satisfaction by ensuring smooth and efficient payment experiences. Real-time insights also help PSPs to adapt to market changes quickly and strategically, maintaining a competitive edge.
How does real-time analytics enhance fraud detection?
Real-time analytics enhances fraud detection by continuously monitoring transactions for unusual patterns or anomalies that may indicate fraudulent activity. By leveraging machine learning algorithms and historical data, PSPs can instantly flag suspicious transactions for further review or immediate action. This proactive approach allows for quicker identification of fraud, reducing the risk of financial loss and protecting both the merchant and the customer from potential threats.
What technologies are commonly used in PSP real-time analytics?
PSP real-time analytics commonly utilizes technologies such as machine learning, artificial intelligence, big data processing frameworks (like Apache Kafka and Apache Flink), and cloud computing. These technologies enable the rapid processing and analysis of large volumes of data, facilitating real-time insights. Additionally, advanced data visualization tools and dashboards are often employed to present analytics in an easily interpretable format for decision-makers.
Can real-time analytics assist in compliance with regulations?
Yes, real-time analytics can significantly aid PSPs in staying compliant with financial regulations by providing tools to monitor and report transaction data in accordance with legal standards. It helps ensure that transactions are legitimate and meet the necessary compliance requirements, such as those set by the Payment Card Industry Data Security Standard (PCI DSS) and anti-money laundering (AML) laws, thereby reducing the risk of legal penalties.
How does real-time analytics improve customer experiences?
Real-time analytics improves customer experiences by enabling PSPs to provide faster transaction processing and more personalized service offerings. By analyzing customer data in real-time, PSPs can tailor promotions, detect and resolve issues promptly, and offer more relevant payment options. This leads to a smoother, more responsive payment process, enhancing customer satisfaction, and fostering loyalty by addressing customer needs and preferences effectively.