Are Fragmented Systems and Manual Processes Exposing Your Business to Unnecessary Risks?
Streamline operations and enhance security by unifying oversight, reducing chargeback exposure, and automating risk assessments efficiently.
Fragmented Merchant Oversight
Managing thousands of merchants across disconnected systems masks risky behavior, complicates rule enforcement, and slows fraud detection.
Chargeback Exposure
Excessive disputes push PSP ratios above card-scheme limits, triggering fines, higher reserves, and reputational damage.
Manual KYB Risk Assessments
Spreadsheet-driven checks delay onboarding, introduce data gaps, and allow high-risk merchants to slip through unnoticed.
Insufficient Real-Time Risk Visibility
Batch reports arrive after losses occur, leaving teams blind to in-flight card-not-present (CNP) and card-present (CP) fraud across their portfolio.
Fraudnet: Revolutionizing Merchant Risk Management Solutions
Streamline risk management and enhance security, empowering Payment Service Providers to minimize exposure and boost efficiency.
Policy Monitoring
Automates chargeback and transaction-rule enforcement per merchant.
Transaction Monitoring in Milliseconds
Scores every CNP/CP payment for fraud in real time.
KYB Screening
Layered identity and ownership checks during merchant onboarding.
Risk Tiering & Scoring
Continuously ranks merchants by historical and live risk.
Unified Risk Control Center
Our Unified Risk Control Center consolidates merchant, transaction, and policy data into a single, intuitive dashboard. Empower your analysts with immediate insights and expedite investigations, enabling quicker responses to threats and enhancing your ability to manage risk effectively across your portfolio.
Millisecond-Level Decisioning
Experience lightning-fast payment approvals with our AI-native scoring system. It decides on transactions in milliseconds, drastically reducing fraud and minimizing false declines, all while ensuring a seamless checkout experience for your merchants and customers.
Scalable KYB Automation
Effortlessly onboard more SMB merchants with scalable KYB automation that auto-validates ownership, checks sanctions, and assesses behavior. Meet AML mandates without compromising speed, ensuring a seamless process that enhances compliance and expands your merchant portfolio safely and efficiently.
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 end-to-end fraud management?
PSP end-to-end fraud management refers to the comprehensive process employed by Payment Service Providers to detect, prevent, and mitigate fraudulent activities across the entire transaction lifecycle. This involves using advanced technologies, such as machine learning and artificial intelligence, to monitor transactions in real-time, identify suspicious behaviors, and implement security measures to protect both merchants and consumers from fraud.
Why is real-time fraud detection important for PSPs?
Real-time fraud detection is crucial for PSPs as it allows for immediate identification and response to fraudulent activities, minimizing financial losses and reputational damage. By quickly detecting suspicious transactions, PSPs can prevent fraudsters from completing unauthorized transactions, protecting both merchants and consumers. This proactive approach enhances trust in the payment system and reduces chargebacks and associated costs.
How do machine learning algorithms help in fraud management?
Machine learning algorithms are pivotal in fraud management as they can analyze vast datasets to identify patterns and anomalies indicative of fraud. These algorithms continuously learn and adapt to new fraud tactics, improving their accuracy over time. By leveraging historical transaction data, machine learning models can predict fraudulent activities with greater precision, enabling PSPs to take preemptive measures and reduce false positives, ensuring legitimate transactions are approved.
What role does data analytics play in preventing payment fraud?
Data analytics plays a significant role in preventing payment fraud by providing insights into transactional behaviors and identifying anomalies. By analyzing transaction data, PSPs can detect trends and patterns that may indicate fraud. Advanced analytics tools help in segmenting and profiling transactions, assessing risk, and implementing tailored fraud prevention strategies. This approach enables PSPs to proactively address potential vulnerabilities and enhance their fraud detection capabilities.
How can PSPs balance fraud prevention with customer experience?
PSPs can balance fraud prevention with customer experience by implementing adaptive authentication and risk-based verification strategies. These approaches ensure that legitimate customers face minimal friction during transactions while effectively identifying and blocking fraudulent activities. By using machine learning to assess risk in real-time and applying additional verification only when necessary, PSPs can maintain a seamless user experience while safeguarding against fraud.
What are the key components of a successful end-to-end fraud management strategy?
A successful end-to-end fraud management strategy involves several key components: real-time transaction monitoring, advanced analytics, machine learning algorithms, adaptive authentication, and a robust incident response plan. Additionally, collaboration with industry partners and information sharing about emerging threats are crucial. Regularly updating and testing fraud detection systems, coupled with ongoing staff training, ensures that PSPs remain vigilant and responsive to the evolving fraud landscape.