Harnessing Real-Time Analytics for Payment Companies

Unlock instant insights to boost efficiency, reduce fraud, and enhance customer satisfaction with real-time payment analytics.

Is Your Payment System Struggling with These Critical Challenges?

Optimize your payment system to minimize fraud, protect user identities, manage chargebacks, and navigate complex global regulations effortlessly.

High Fraud in Instant Payments

Sub-second authorizations give teams no time for manual review, letting scams and mule accounts slip through, driving direct losses and network fines.

Account Takeovers & Synthetic IDs

Criminals exploit weak identity checks, hijacking wallets or creating fake profiles that drain balances and erode user trust.

Surging Chargebacks & Disputes

Card-not-present fraud, promo abuse, and friendly fraud increase refund volume, hurting margins and operational capacity.

Fragmented Global Regulations

PSD2, FedNow, UPI, and AML rules vary by region, forcing payment firms to juggle overlapping, fast-changing mandates.

Stop Fraud Fast: Empower Your Payments with FraudNet

Boost security and compliance, cut fraud losses, and streamline operations with FraudNet's advanced solutions.

Real-Time Transaction Monitoring

Scores every payment in <50ms, blocking high-risk activity

Entity & Device Screening

Instant KYB/KYC, AML, and sanctions checks at onboarding

AI-Native Risk Decisioning

Self-learning models cut fraud while reducing false declines

Unified Case Management

One workspace to triage alerts, collaborate, and report

Key Capabilities For Payment companies

Millisecond-Level Fraud Detection

FraudNet processes billions of signals in real time, enabling payment companies to swiftly approve legitimate customers while intercepting fraudulent activities. Protect your ecosystem by preventing bad actors from accessing funds, ensuring seamless transactions and safeguarding your reputation.

Single Source of Truth

Integrate transaction, identity, and device data into a unified console, optimizing analyst workflows and slashing investigation times by up to 60%. Elevate efficiency and accuracy, ensuring your team swiftly identifies threats while maintaining seamless payment experiences for your customers.

Built-In Global Compliance

Stay effortlessly compliant with our built-in global compliance features. Our live rule libraries and automated reporting ensure alignment with PSD2 SCA, AML, and other regional mandates, eliminating the need for additional tools or staff, and keeping you focused on growth.
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 are real-time analytics in the context of payment companies?

Real-time analytics in payment companies involve the continuous processing and analysis of transaction data as it happens. This allows businesses to monitor transactions instantly, detect anomalies, and make rapid decisions. By leveraging real-time analytics, payment companies can enhance fraud detection, optimize transaction processing, and improve customer service, ensuring that any issues or opportunities are addressed as they arise.

How do real-time analytics improve fraud detection for payment companies?

Real-time analytics enhance fraud detection by enabling payment companies to monitor transactions as they occur. This immediacy allows for the identification of unusual patterns or anomalies that may indicate fraudulent activity. By using machine learning algorithms and predictive models, companies can flag suspicious transactions for further review or automatically block them, reducing the risk of fraud and protecting both the company and its customers.

What are the key benefits of using real-time analytics for transaction processing?

The key benefits include faster transaction approvals, improved customer satisfaction, and reduced operational costs. Real-time analytics allow payment companies to streamline their processes, leading to quicker transaction times and fewer errors. This enhances the customer experience by minimizing delays and disruptions. Additionally, by identifying and resolving issues in real-time, companies can optimize resource allocation and reduce the need for costly manual interventions.

How can real-time analytics enhance customer experience in payment services?

Real-time analytics enhance customer experience by providing immediate feedback and resolution to transaction-related issues. Customers benefit from faster transaction processing and quick notifications of any suspicious activities on their accounts. This proactive approach not only increases customer trust but also ensures higher satisfaction levels by addressing potential concerns before they escalate into bigger problems, thereby fostering a seamless and secure payment experience.

What challenges do payment companies face when implementing real-time analytics?

Implementing real-time analytics presents challenges such as handling large volumes of data, ensuring data accuracy, and maintaining robust data security. Payment companies must invest in scalable infrastructure to process high transaction loads and develop advanced algorithms to accurately interpret data in real-time. Additionally, protecting sensitive customer information from breaches while complying with regulatory requirements adds complexity to the implementation process, requiring careful planning and execution.

How do payment companies ensure data privacy and security in real-time analytics?

Payment companies ensure data privacy and security by implementing robust encryption protocols, secure data storage solutions, and access controls. They also adhere to industry standards such as PCI DSS to protect sensitive payment information. Regular security audits and risk assessments help identify vulnerabilities, while the deployment of advanced threat detection systems monitors for potential breaches. By maintaining compliance with legal and regulatory frameworks, companies can safeguard customer data while leveraging real-time analytics.