Are High Fraud Rates and Compliance Challenges Draining Your Resources?
Protect revenue and enhance trust with real-time solutions that tackle fraud, streamline compliance, and optimize resource allocation.
High Fraud Rates in Real-Time Payments
Instant payments settle in seconds, leaving no buffer for manual review. Fraudsters exploit that speed to push mule deposits, peer-to-peer scams, and card-not-present attacks that immediately erode interchange revenue and damage brand trust.
Account Takeovers & Synthetic Identities
Criminals hijack legitimate user credentials or build synthetic profiles that bypass legacy KYC. Once inside, they redirect payouts, launder funds, and trigger unauthorised transfers—forcing payment companies to absorb losses and operational disruption.
Chargebacks & Payment Disputes
Promotion abuse, friendly fraud, and refund schemes inflate chargeback ratios. Excessive dispute volumes raise scheme fees, jeopardise sponsor-bank relationships, and divert analyst resources from proactive fraud work.
Regulatory Fragmentation
Global processors juggle PSD2 SCA, FedNow, UPI, and AML directives. Proving control effectiveness across jurisdictions demands auditable reporting, consistent screening, and rapid rule updates—tasks that overwhelm siloed compliance teams.
Combat Payment Fraud Instantly with FraudNet Solutions
Streamline operations and protect revenue with FraudNet’s real-time monitoring and adaptive risk management.
Real-Time Transaction Monitoring
Score every payment in 50 ms, blocking high-risk traffic instantly.
Entity Screening
Continuously screen merchants and payees against AML & sanctions lists.
AI & ML Risk Decisioning
Auto-learn fraud patterns, reducing false positives and reviews.
Case Management System
Prioritise alerts, streamline investigations, speed regulator reports.
AI-Native Real-Time Detection
FraudNet swiftly analyzes each transaction within milliseconds, identifying anomalies before funds are processed. This ensures that your genuine customers experience seamless, friction-free payments, while you effectively block fraudulent activity and protect your revenue streams.
Unified Fraud & Compliance Workspace
Streamline your fraud prevention efforts with a unified console that consolidates alerts, investigation notes, and audit trails. Say goodbye to inefficient swivel-chair workflows and experience faster resolution cycles, enhancing your team’s efficiency and protecting your bottom line.
Self-Optimising Models
FraudNet dynamically adapts using your payment data, swiftly countering emerging threats while minimizing false positives. This ensures high revenue retention and strengthens customer trust, empowering payment companies to deliver seamless, secure transactions without compromising on user experience or loyalty.
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. These systems use machine learning algorithms and data analytics to recognize patterns and anomalies that suggest fraudulent activities, thus allowing payment companies to respond quickly and mitigate risks.
How can payment companies measure the effectiveness of their fraud control systems?
Payment companies can measure effectiveness by tracking metrics such as fraud detection rate, false positive rate, and chargeback ratio. Regular audits and benchmarking against industry standards also provide insights. Additionally, customer feedback and the speed of fraud resolution contribute to understanding how well the systems are performing in real-world scenarios.
What role does machine learning play in fraud detection for payment companies?
Machine learning enhances fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraud. It continuously learns from new data to improve accuracy and reduce false positives. This allows payment companies to proactively detect and prevent fraud in real-time, offering a dynamic and adaptive approach to fraud control.
Why are false positives a concern in payment fraud detection?
False positives occur when legitimate transactions are flagged as fraudulent, leading to unnecessary transaction declines or customer inconvenience. High false positive rates can harm customer satisfaction and loyalty, potentially resulting in lost revenue. Effective fraud detection systems balance the need to prevent fraud while minimizing disruptions to valid customer activities.
How do regulatory requirements impact fraud control strategies for payment companies?
Regulatory requirements, such as PCI DSS, GDPR, and PSD2, impose specific guidelines on data protection, transaction security, and fraud prevention. Compliance with these regulations is crucial and influences fraud control strategies by ensuring payment companies adopt robust security measures, conduct regular audits, and maintain transparency in their fraud prevention practices.
What are the future trends in payment fraud detection technology?
Future trends include increased use of artificial intelligence, biometrics for identity verification, and blockchain technology for secure transactions. Payment companies are also expected to enhance real-time analytics and cross-channel fraud detection. These advancements aim to improve accuracy and efficiency in detecting and preventing fraud, keeping pace with evolving fraud tactics and technologies.