Are Fragmented Systems and Manual Processes Putting Your Merchant Oversight at Risk?
Streamline oversight and boost security by unifying systems, automating processes, and gaining real-time insights across merchant accounts.
Fragmented Merchant Oversight
PSPs juggle thousands of merchant accounts across disparate systems, making it hard to spot risky behavior, enforce policy thresholds, or maintain consistent security standards at scale.
Chargeback Exposure
Excessive dispute ratios jeopardize card-network standing and erode margins, yet many PSPs still rely on lagging reports that limit their ability to intervene before thresholds are breached.
Manual KYB Risk Assessments
Spreadsheet-driven onboarding slows revenue, misses hidden ownership ties, and leaves PSPs vulnerable to fraud rings that exploit weak identity and sanctions checks.
Insufficient Real-Time Risk Visibility
Without unified dashboards, PSP teams lack millisecond insights into transaction-level and merchant-level threats, delaying responses and complicating audit readiness.
Empower Fraud Prevention with FraudNet's Smart Solutions
Streamline oversight, reduce risks, and enhance compliance for Payment Service Providers with FraudNet's seamless solutions.
Policy Monitoring
Auto-flags merchants breaching chargeback or refund limits in real time.
Transaction Screening
Milliseconds-fast CNP/CP checks block suspect payments pre-authorization.
KYB Automation
API-based identity, sanctions, and ownership screening at onboarding.
Risk Tiering & Scoring
Continuously segments merchants by live and historical risk signals.
AI-Native Real-Time Detection
FraudNet instantly analyzes each transaction, intercepting fraud before authorization. This lightning-fast detection slashes false positives, safeguarding your revenue streams without adding customer friction. Elevate your payment security and operational efficiency with seamless, real-time protection tailored for PSPs.
Unified Merchant & Transaction Dashboard
Experience seamless oversight with a unified console that consolidates policy breaches, risk scores, and case histories. Enhance your efficiency in investigations, streamline audit preparations, and foster better cross-team collaboration, ensuring you stay ahead in managing risks and maintaining security standards.
Built-In Global Compliance Support
Streamline your compliance efforts with automated reporting, audit trails, and seamless data orchestration. Effortlessly meet PCI-DSS, AML, and card-network mandates while significantly cutting down on manual tasks, ensuring your team stays focused on strategic growth and risk management.
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 types of payment fraud can detection software identify?
Detection software can identify various types of payment fraud, including credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering. These tools use advanced algorithms and machine learning to analyze transaction patterns and flag suspicious activities. By continuously updating their databases with new fraud tactics, these systems help Payment Service Providers (PSPs) stay ahead of fraudsters and protect both merchants and consumers.
How do machine learning algorithms improve fraud detection?
Machine learning algorithms improve fraud detection by continuously learning from new data to recognize patterns and anomalies indicative of fraudulent activity. By analyzing vast amounts of transaction data, these algorithms can identify subtle cues and evolving fraud tactics that rule-based systems might miss. Over time, the system becomes more accurate at predicting and preventing fraud, reducing false positives while enhancing the security of the payment ecosystem.
What role does artificial intelligence play in PSP fraud prevention?
Artificial intelligence (AI) plays a critical role in PSP fraud prevention by automating the detection and analysis of fraudulent activities. AI systems can process large volumes of data at high speed, identifying potential threats in real time. They use predictive analytics to forecast fraud trends and adaptive learning to evolve with changing fraud tactics. This enhances the PSP’s ability to prevent fraud proactively, ensuring a secure transaction environment for merchants and consumers.
How can Payment Service Providers balance security with user experience?
Payment Service Providers can balance security with user experience by implementing layered security measures that are robust yet minimally invasive. Techniques such as two-factor authentication, tokenization, and biometric verification enhance security without disrupting the user journey. Additionally, employing AI and machine learning to detect fraud in the background ensures that users experience seamless transactions while remaining protected. Regularly updating security protocols and educating users about safe practices also contribute to a balanced approach.
Why is real-time transaction monitoring crucial for PSPs?
Real-time transaction monitoring is crucial for PSPs because it allows for immediate detection and response to fraudulent activities. By analyzing transactions as they occur, PSPs can identify and block suspicious activity before it results in financial loss. This not only protects merchants and consumers but also helps maintain trust in the payment system. Real-time monitoring is essential for minimizing the impact of fraud and ensuring compliance with regulatory standards.
What are the challenges PSPs face in implementing fraud prevention tools?
PSPs face several challenges in implementing fraud prevention tools, including the rapid evolution of fraud tactics and the need to process large volumes of data efficiently. Ensuring compliance with different regional regulations and maintaining user privacy while implementing robust security measures can also be challenging. Additionally, balancing the cost of sophisticated fraud prevention technologies with the need to offer competitive services requires strategic planning and investment. Continuous adaptation and improvement of fraud prevention strategies are essential to overcome these challenges.