Are Your Payment Defenses Keeping Pace with Evolving Fraud Threats?
Stay ahead of fraudsters with advanced detection and compliance solutions that simplify complexity and safeguard your transactions.
Sophisticated Fraud Techniques
Fraudsters weaponize AI, deepfakes, and synthetic identities, outpacing rule-based tools and forcing payment companies to rethink legacy defenses.
Expanded Digital Attack Surface
Omnichannel payments, wallets, and open-banking APIs add entry points that fraud rings probe continuously, raising monitoring complexity for payment providers.
Millisecond Settlement Windows
Real-time rails leave almost no buffer for manual review, so undetected fraud can settle instantly and trigger costly chargebacks or write-offs.
Complex Global Compliance
Keeping pace with PCI DSS, PSD2-SCA, and data-privacy mandates strains resources, and missteps expose processors to fines and reputational damage.
Stop Fraud Fast with FraudNet's Cutting-Edge Solutions
FraudNet empowers payment companies to stay ahead of fraud, ensuring secure, compliant, and efficient transactions.
AI-Native Real-Time Detection
Scores every payment in <50 ms, blocking emerging threats.
Unified Data Intelligence Hub
Combines multi-channel signals for holistic risk views.
Adaptive Behavioral Analytics
Learns user patterns, flags anomalies with low false hits.
Automated Compliance Engine
Creates audit-ready reports and enforces regional rules.
Instant, Self-Learning Decisioning
FraudNet instantly evaluates transactions and adapts to evolving fraud tactics, allowing you to intercept threats before authorization. This proactive approach safeguards your revenue while ensuring seamless customer experiences, all without adding any delay to your payment processing.
Single Pane of Glass Operations
Our unified dashboard seamlessly integrates device, identity, and payment data, streamlining case workflows for payment companies. By providing analysts with clear, actionable insights, it significantly reduces investigation time and operational overhead, empowering you to efficiently tackle fraud and optimize resources.
Built-In Regulatory Alignment
Effortlessly stay compliant with PCI DSS, PSD2-SCA, and regional data-privacy laws using our pre-configured rulesets and automated audit trails. Minimize legal risks and streamline audit preparations, freeing your resources to focus on driving growth and securing transactions with confidence.
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 utilizing machine learning and data analytics, these systems can detect unusual patterns in transaction data, such as rapid spending or geographically dispersed transactions, which may indicate fraudulent activity.
How do machine learning algorithms help in fraud detection?
Machine learning algorithms help in fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraud. These algorithms continuously learn from new data, improving their accuracy over time. By recognizing subtle changes in consumer behavior and transaction characteristics, they can effectively flag potentially fraudulent activities for further investigation, reducing false positives and enhancing overall security.
What role does artificial intelligence play in preventing payment fraud?
Artificial intelligence (AI) plays a crucial role in preventing payment fraud by automating the detection and analysis of suspicious activities. AI can process large datasets quickly, identifying complex patterns that may be missed by human analysts. It can also predict potential fraud scenarios based on historical data, enabling proactive measures. Additionally, AI-powered systems can adapt to new fraud tactics, ensuring that payment companies remain a step ahead of evolving threats.
How can payment companies stay ahead of evolving fraud tactics?
Payment companies can stay ahead of evolving fraud tactics by investing in advanced technologies like AI and machine learning, which provide real-time monitoring and predictive analytics. Collaborating with industry partners and sharing threat intelligence can also enhance their understanding of emerging threats. Regularly updating security protocols and educating both employees and customers about potential risks are essential strategies in maintaining robust defenses against fraud.
What are some common indicators of fraudulent transactions?
Common indicators of fraudulent transactions include unusual purchasing patterns, such as multiple high-value purchases in a short timeframe, transactions originating from unfamiliar locations, and discrepancies in billing and shipping addresses. Other signs can be multiple declined transactions, the use of multiple credit cards for a single purchase, or rapid changes in account information. Monitoring these indicators can help payment companies quickly identify and mitigate potential fraud.
How do fraudsters exploit new payment technologies?
Fraudsters exploit new payment technologies by identifying and taking advantage of vulnerabilities in their implementation. This can include intercepting data in poorly secured networks, using phishing schemes to steal authentication credentials, or leveraging social engineering tactics to deceive users. As payment technologies evolve, fraudsters continuously adapt their methods, making it essential for payment companies to implement robust security measures and stay informed about emerging threats.