Are You Struggling with These Critical Payment Security Challenges?
Enhance your payment security, protect your revenue, and safeguard your reputation with our comprehensive fraud prevention solutions.
High Fraud Velocity in RTP & Cross-Border Payments
Instant settlement gives you milliseconds to spot scams, refund fraud, and mule activity, exposing revenue and brand reputation.
Account Takeovers & Synthetic Identities
Fraudsters hijack consumer credentials or build fake personas, draining stored value and triggering costly reimbursements.
Surging Chargebacks and Payment Disputes
Card-not-present abuse, promo stacking, and first-party fraud inflate dispute queues and erode interchange margins.
Fragmented Global Compliance Duties
Keeping pace with PSD2, FATF, and local AML rules strains teams and risks fines for every new market you enter.
Empower Fraud Prevention with FraudNet's Advanced Solutions
Boost security, reduce risks, and enhance compliance for payment companies with FraudNet's advanced solutions.
Real-Time Transaction Monitoring
Millisecond scoring blocks risky RTP and cross-border traffic.
Behavior-Based Account Protection
Detect takeovers with device, velocity, and behavioral signals.
Chargeback Risk Analytics
Spot rising dispute trends and auto-flag high-risk merchants.
Low-Code Data Orchestration
Integrates processor data with 3rd-party signals for holistic scoring.
AI-Native, Cloud-Scale Detection
FraudNet seamlessly integrates into your payment systems, analyzing billions of signals and dynamically adapting its models in real time. This ensures evolving fraud threats are intercepted instantly, safeguarding your transactions without compromising speed or adding latency. Stay secure and efficient.
Unified Case Management Workspace
Streamline your fraud investigations with our unified case management workspace. Empower your analysts to efficiently triage, collaborate, and generate reports all from a single console, significantly reducing investigation time and operational costs, while enhancing overall efficiency and response speed.
Configurable Compliance Automation
Stay ahead of regulatory changes effortlessly with our configurable compliance automation. Our pre-built rule sets, comprehensive audit trails, and seamless auto-reporting ensure your operations remain compliant with evolving regulations, minimizing risk and freeing your team to focus 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 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 to analyze transaction data and identify anomalies that may indicate fraudulent activities, helping payment companies proactively mitigate risks.
How does cloud-based fraud prevention differ from traditional methods?
Cloud-based fraud prevention offers scalability, real-time data processing, and enhanced collaboration compared to traditional on-premises solutions. It allows payment companies to access the latest security updates and threat intelligence instantly. Cloud solutions can also easily integrate with other cloud services and leverage advanced analytics to improve detection accuracy, providing a more agile and responsive approach to combating fraud.
What are the benefits of using machine learning in fraud detection?
Machine learning enhances fraud detection by continuously learning and adapting to new fraud patterns. It analyzes large volumes of transaction data to identify subtle anomalies and emerging threats that rule-based systems might miss. This leads to higher detection accuracy and fewer false positives, allowing payment companies to focus their resources on genuine threats and improve customer experience by minimizing legitimate transaction disruptions.
How can payment companies ensure data security in the cloud?
Payment companies can ensure data security in the cloud by implementing strong encryption protocols, conducting regular security audits, and maintaining compliance with industry standards like PCI DSS. They should also enforce access controls, monitor for unusual activities, and work with cloud providers who offer robust security measures, such as multi-factor authentication and intrusion detection systems, to protect sensitive payment data from unauthorized access and breaches.
What role does real-time analytics play in fraud prevention?
Real-time analytics is crucial in fraud prevention as it allows payment companies to detect and respond to fraudulent activities as they occur. By analyzing transaction data in real-time, companies can identify suspicious patterns and anomalies instantly, enabling them to block or review potentially fraudulent transactions before they are completed. This proactive approach helps minimize financial losses and protects both the business and its customers from the impacts of fraud.
How can payment companies balance fraud prevention with customer experience?
Payment companies can balance fraud prevention with customer experience by implementing advanced fraud detection systems that minimize false positives and accurately identify fraudulent activities. By using machine learning and behavioral analytics, companies can tailor their fraud prevention strategies to individual customer profiles, reducing unnecessary transaction declines. Providing transparency and clear communication about security measures also helps build customer trust, ensuring a seamless and secure payment experience.