Real-Time Fraud Visibility for Payment Processors

Enhance Security and Reduce Operational Costs with Real-Time Fraud Detection and Intelligent Automation.

Are Unmanaged Risks and Inefficient Processes Exposing Your Business to Fraud and Penalties?

Gain control over merchant risk and streamline operations to protect your business from fraud, penalties, and inefficiencies.

Unmanaged Merchant Risk

Without continuous, granular oversight, risky merchants slip through, exposing payment processors to sudden spikes in fraud, network fines, and damaged sponsor-bank relationships.

Manual Monitoring Processes

Teams still rely on Excel exports and ad-hoc queries, slowing reaction times and forcing processors to scale headcount instead of insight.

Chargebacks & Threshold Violations

Unseen surges in refunds, fraud rates, or excessive chargebacks trigger costly card-scheme penalties and jeopardize acquiring licenses.

High False Positives

Rigid, one-size rules flag legitimate volume swings, disrupting merchant cashflow and driving avoidable support costs.

Transform Risk Management with FraudNet's Cutting-Edge Solutions

FraudNet empowers payment processors to prevent fraud, reduce penalties, and streamline operations for safer transactions.

Policy Monitoring Engine

Real-time rules enforce merchant limits and alert you before breaches escalate.

Anomaly Detection

ML-powered detection spots unseen fraud patterns beyond static thresholds.

Merchant-Level Customization

Adaptive limits fit each merchant, cutting false positives and churn.

Unified Case Dashboard

End-to-end workflow speeds investigations from alert to recovery.

Key Capabilities For Payment Processors

Real-Time Fraud Detection

Experience unparalleled protection with FraudNet's real-time scoring, evaluating every transaction in milliseconds. Prevent threats before they impact your profits, ensuring seamless operations and safeguarding your processor reputation. Trust in our technology to keep you a step ahead in fraud prevention.

Streamlined Case Management

Our unified console centralizes alerts, evidence, and workflows, significantly reducing the time and effort analysts spend on case management and audit preparation. Streamline your operations, improve efficiency, and focus on growing your processing capabilities with ease.

Intelligent Automation

Automated actions, such as pausing payouts or notifying merchants, empower payment processors to manage risk efficiently. These proactive measures ensure threats are contained swiftly, maintaining seamless operations and supporting sustainable growth without compromising the speed or quality of your service.
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

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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. By analyzing transaction patterns and user behavior in real-time, these systems can flag unusual activities that may indicate fraudulent attempts, thereby enhancing the security of payment processing systems and protecting both merchants and consumers from unauthorized transactions.

How does real-time fraud detection improve transaction security?

Real-time fraud detection improves transaction security by continuously monitoring transactions as they occur, allowing for immediate identification and response to suspicious activities. This proactive approach minimizes the risk of fraudulent transactions going through. It uses advanced algorithms and machine learning to analyze data patterns and user behaviors, ensuring that deviations from normal activities are quickly addressed, thereby reducing potential financial losses and enhancing trust in the payment system.

What role does machine learning play in fraud detection?

Machine learning plays a crucial role in fraud detection by enabling systems to learn from large volumes of transaction data and identify patterns associated with fraudulent activities. It allows for continuous improvement of detection algorithms, automatically adapting to new fraud tactics without manual intervention. This capability helps in accurately distinguishing between legitimate and suspicious transactions, thereby reducing false positives and ensuring a more efficient and effective fraud detection process.

Why is real-time visibility important for payment processors?

Real-time visibility is important for payment processors as it allows them to monitor transactions instantly, enabling the quick detection and prevention of fraudulent activities. This immediacy helps in minimizing financial losses and maintaining customer trust. It also provides valuable insights into transaction trends and patterns, aiding in better decision-making and risk management strategies. With the increasing sophistication of fraud tactics, real-time visibility is crucial for staying ahead and ensuring secure payment processing.

How do payment processors balance fraud prevention with user experience?

Payment processors balance fraud prevention with user experience by implementing sophisticated fraud detection systems that minimize disruptions to legitimate transactions. They use machine learning and AI to reduce false positives, ensuring that genuine users have a seamless experience. Additionally, they layer security measures, such as two-factor authentication, in a way that is unobtrusive to users. By constantly refining their algorithms and using real-time data, they can effectively prevent fraud while maintaining a smooth and secure user experience.

What challenges do payment processors face in implementing real-time fraud detection?

Payment processors face several challenges in implementing real-time fraud detection, including the need for advanced technology that can process and analyze large volumes of data quickly. They must also manage false positives, which can inconvenience legitimate users, and continuously adapt to evolving fraud tactics. Additionally, integrating these systems with existing infrastructure and ensuring compliance with regulatory requirements can be complex. Balancing these demands while maintaining efficient and user-friendly services is a significant challenge for payment processors.