Ensuring Fraud Tool Security Standards for Acquirers

Enhance fraud detection, ensure compliance, and reduce risk with seamless integration and advanced AI-powered solutions tailored for acquirers.

Are You Struggling to Keep Pace with Evolving Fraud Tactics and Regulatory Demands?

Streamline fraud detection and compliance, reduce chargebacks, and protect your brand with efficient, unified risk management solutions.

Inadequate Detection of Sophisticated Fraud

Fraudsters quickly pivot tactics, yet many acquirers still rely on static rules that miss multi-channel, coordinated attacks, exposing portfolios to chargebacks and brand damage.

Fragmented Legacy Infrastructure

Disparate gateways, CRM tools, and home-grown risk engines make it hard for acquirers to deploy a single view of risk, slowing response times and driving up IT spend.

Intensifying Regulatory & Scheme Mandates

PCI DSS v4.0, PSD2, and card-network programs demand granular reporting and audit trails; manual processes leave acquirers vulnerable to fines and reputational harm.

Limited 24/7 Monitoring Resources

Round-the-clock coverage is costly; understaffed teams struggle to investigate alerts in real time, letting fraudulent transactions slip through and eroding merchant trust.

Transform Fraud Management with FraudNet's Advanced Solutions

Streamline risk management and compliance effortlessly, safeguarding portfolios while boosting merchant trust and revenue.

FraudNet Real-Time AI Scoring

Instantly evaluates every transaction with adaptive models.

FraudNet Universal API Layer

Seamlessly connects legacy cores, CRMs, and gateways.

FraudNet Compliance Autopilot

Automates reports, audit trails, and scheme mandates.

FraudNet Adaptive Case Hub

Prioritizes alerts and orchestrates analyst workflows.

Key Capabilities For Acquirers

AI-Native, Millisecond Decisions

Prevent fraud instantly with AI-driven, self-learning models that analyze thousands of transaction signals in milliseconds. This cutting-edge technology stops threats before authorization, protecting your portfolios without disrupting the customer experience, ensuring seamless and secure transactions every time.

Single Pane of Glass Oversight

Empower your risk, operations, and compliance teams with unified dashboards that provide a comprehensive, real-time view of merchant activity, chargebacks, and investigations. Streamline your oversight processes, enhance decision-making, and safeguard your portfolio—all from a single, intuitive console.

Fewer False Positives, More Revenue

Boost your merchant approval rates and unlock higher interchange income with our precision scoring. By minimizing false positives, we ensure seamless transaction approval, safeguarding your portfolio from emerging threats while enhancing your revenue stream. Experience smarter fraud prevention without compromising 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 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, among others. By analyzing transaction patterns and user behavior, these tools help acquirers detect anomalies that might indicate fraudulent activity, allowing them to take preventive measures swiftly.

How does machine learning enhance fraud detection in acquirer systems?

Machine learning enhances fraud detection by enabling systems to learn from historical data and adapt to new fraudulent patterns without human intervention. It helps acquirers by continuously improving the accuracy of detecting fraudulent activities through pattern recognition and anomaly detection. This capability allows acquirers to identify and block suspicious transactions more effectively and reduce false positives over time.

Why is real-time monitoring important in acquirer fraud tools?

Real-time monitoring is crucial because it allows acquirers to detect and respond to fraudulent activities as they happen. This immediate response capability helps minimize financial losses and protects cardholders and merchants from further fraudulent attempts. Real-time systems can instantly flag suspicious transactions, enabling quick decisions on whether to approve or decline them, thus maintaining the security and integrity of the payment ecosystem.

What role does data encryption play in acquirer fraud tool security?

Data encryption plays a vital role by ensuring that sensitive information, such as cardholder details and transaction data, is securely transmitted and stored. For acquirers, encryption protects against unauthorized access and data breaches, which are common targets during fraudulent activities. Implementing strong encryption protocols helps maintain customer trust and comply with industry regulations like PCI DSS, which require stringent data protection measures.

How can acquirers ensure compliance with regulations using fraud tools?

Acquirers can ensure compliance by using fraud tools designed to meet regulatory standards like PCI DSS, GDPR, and PSD2. These tools often come with built-in compliance features, such as secure data handling, transaction monitoring, and reporting capabilities, which help acquirers adhere to legal requirements. Regular audits and updates to the fraud detection systems also ensure ongoing compliance and adaptation to new regulatory changes.

What are the key features to look for in an acquirer fraud detection system?

Key features include real-time transaction monitoring, machine learning capabilities, customizable rule engines, comprehensive reporting tools, integration flexibility, and strong data security measures. Acquirers should also look for systems that offer high scalability to handle varying transaction volumes and advanced analytics for insightful fraud pattern analysis. Choosing a system with these features ensures robust fraud prevention and adaptability to emerging threats.