Is Your Payment System Struggling with These Critical Challenges?
Unlock seamless transactions and protect your business by addressing key vulnerabilities, enhancing security, and boosting customer trust.
Surge In AI-Generated Synthetic Identities
Fraudsters now create lifelike personas that slip past KYC. Processors face higher chargebacks, polluted customer files, and expensive manual reviews to separate real users from fakes.
High False Positive Rates
Legacy, rule-heavy systems flag good customers as risky, driving merchant complaints, lost interchange revenue, and churn to competing payment networks.
Fragmented Risk Data
Authorization logs, chargeback feeds, and external watchlists live in silos. Analysts lack a 360° view, slowing investigations and hiding cross-channel fraud campaigns.
Regulatory Pressure And Liability Shifts
PSD2 SCA, PCI DSS 4.0, and card-network mandates push more liability onto processors, demanding fast, defensible fraud decisions to avoid fines and brand damage.
Fraudnet: Revolutionizing Fraud Prevention with Smart Solutions
Enhance fraud prevention, reduce costs, and maintain compliance effortlessly with Fraudnet's advanced solutions for payment processors.
Real-Time AI Transaction Monitoring
Instantly scores each payment; blocks high-risk activity pre-authorization.
Adaptive Anomaly Detection
Continuous learning flags emerging patterns unseen by static rules.
Unified Case Management
Single dashboard merges data, automates tasks, speeds investigations.
Compliance-Ready Reporting
Exports audit trails and regulatory reports with one click.
AI-Native Decision Engine
Harness the power of millisecond scoring with our AI-native decision engine, driven by graph analytics and global fraud intelligence. Slash fraud losses by up to 60% while maintaining seamless customer experiences, ensuring your payment processing remains efficient and secure.
Intelligent Automation
Elevate your fraud response with intelligent automation that escalates cases, uncovers root causes, and recovers funds effortlessly. Reduce analyst workload by 40% and swiftly clear backlogs, allowing your team to focus on what truly matters—driving growth and enhancing customer experience.
Configurable, Scalable Platform
Our cloud-based platform effortlessly scales to handle peak transaction volumes. With intuitive no-code rule adjustments, you can swiftly adapt your fraud defenses without any downtime, ensuring you maintain full control and responsiveness in an ever-evolving payment landscape.
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 some common evolving tactics used by fraudsters in payment processing?
Fraudsters continuously adapt their methods to exploit vulnerabilities in payment systems. Common evolving tactics include synthetic identity fraud, where fake identities are created using a mix of real and fabricated information, and account takeover, which involves unauthorized access to legitimate user accounts. Additionally, fraudsters increasingly use automated bots for large-scale attacks and employ social engineering techniques to manipulate individuals into revealing sensitive information.
How can payment processors detect and prevent synthetic identity fraud?
Payment processors can detect and prevent synthetic identity fraud by implementing robust identity verification processes, such as multi-factor authentication and biometric verification. Analyzing transaction patterns for anomalies and using machine learning algorithms to identify suspicious behavior can also be effective. Collaborating with other financial institutions to share data about known fraudulent identities can help in early detection and prevention.
What role does machine learning play in combating payment fraud?
Machine learning plays a crucial role in combating payment fraud by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraudulent activity. These algorithms can learn and adapt to new fraud tactics, providing real-time alerts and enabling payment processors to respond swiftly. Machine learning models also help in reducing false positives, ensuring legitimate transactions are not mistakenly flagged, thus enhancing the customer experience.
How do fraudsters utilize social engineering in payment processing scams?
Fraudsters use social engineering tactics to manipulate individuals into divulging sensitive information, such as login credentials or credit card details. They often impersonate trusted entities like banks or payment processors through phishing emails, phone calls, or fake websites to gain victims' trust. Once they obtain this information, fraudsters can execute unauthorized transactions or take over accounts. Educating customers about these tactics is essential in preventing such scams.
What are the signs of account takeover fraud, and how can it be prevented?
Signs of account takeover fraud include unexpected changes to account details, such as email or phone number updates, and unauthorized transactions or login attempts from unfamiliar devices or locations. Preventing account takeover involves implementing strong authentication measures like two-factor authentication, monitoring for unusual account activities, and educating users on creating strong, unique passwords. Regularly updating security measures and using anomaly detection tools are also effective prevention strategies.
How can payment processors stay ahead of evolving fraud tactics?
Payment processors can stay ahead of evolving fraud tactics by investing in advanced fraud detection technologies, such as AI and machine learning, to analyze transaction data in real-time. Continuous monitoring of fraud trends and collaborating with other financial institutions for shared insights and threat intelligence is crucial. Additionally, regularly updating security protocols, conducting employee training on the latest fraud schemes, and educating customers about safe online practices can help mitigate risks.