Are Chargebacks, Fraud, and Onboarding Risks Eroding Your Margins and Reputation?
Safeguard your margins and reputation with proactive risk management that addresses chargebacks, fraud, and onboarding challenges effectively.
High Chargeback Exposure
Rising dispute ratios trigger card-brand fines and reserve demands, eroding acquirer margins and reputations.
Onboarding High-Risk Merchants
Limited real-time KYB data leads acquirers to board shell companies or illicit businesses that spike future fraud.
Hidden Fraud Across Portfolios
CNP fraud, refund abuse, and account testing spread quickly when acquirers lack millisecond transaction insight.
Minimal Merchant Visibility
Fragmented systems obscure day-to-day merchant behavior, delaying intervention and complicating compliance audits.
Fraudnet: Empowering Your Business with Intelligent Solutions
Fraudnet empowers acquirers to mitigate risks, protect margins, and enhance reputation with seamless solutions.
Merchant Policy Monitoring
Real-time policy engine flags chargeback, refund, or volume breaches instantly.
KYB Risk Scoring
KYB scoring vets new merchants, blocking risky applicants before onboarding.
Transaction Monitoring
ML scoring stops CNP, CP, and account-testing fraud in milliseconds.
Merchant Dashboard
Unified dashboard gives acquirers portfolio-wide risk and trend visibility.
Enhanced Fraud Detection
Our AI-driven fraud detection models harness global data signals, adeptly adapting to emerging threats. This ensures precise threat identification without increasing false-positive rates, empowering acquirers to protect their portfolios while maintaining seamless operations and safeguarding customer trust.
Improved Compliance & Audit Readiness
Effortlessly meet card-brand and regulatory mandates with our automated rule enforcement and immutable logs. Streamline compliance processes, reduce manual oversight, and ensure audit readiness, allowing you to focus on growing your portfolio while maintaining the highest standards of security and accountability.
Scalable, Low-Code Deployment
Effortlessly scale your fraud prevention across new regions or growing transaction volumes with our cloud-based APIs and modular tools. Experience seamless protection expansion without overburdening your IT team, ensuring your business stays agile and secure in an ever-evolving 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 is future-proof fraud prevention for acquirers?
Future-proof fraud prevention for acquirers involves implementing strategies and technologies that are adaptable to evolving fraud tactics. This includes using advanced machine learning algorithms, real-time data analytics, and continuous monitoring systems that can detect and respond to new fraud patterns. By staying ahead of emerging threats, acquirers can protect their clients and themselves from potential financial losses and reputational damage.
How does machine learning improve fraud detection for acquirers?
Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraudulent activity. These algorithms can continuously learn and adapt to new fraud tactics, allowing acquirers to quickly and accurately detect suspicious transactions. By leveraging machine learning, acquirers can reduce false positives, improve operational efficiency, and enhance their overall fraud prevention strategies, providing a more secure payment environment for merchants and consumers.
Why is real-time fraud detection important for acquirers?
Real-time fraud detection is crucial for acquirers because it allows for immediate identification and response to fraudulent activities, minimizing financial losses and protecting merchants and consumers. By detecting fraud as it occurs, acquirers can prevent unauthorized transactions from being processed, reducing chargebacks and maintaining trust with their clients. Real-time detection also enables acquirers to stay ahead of sophisticated fraud schemes that can evolve rapidly in today's digital payment landscape.
What role does data analytics play in future-proof fraud prevention?
Data analytics plays a pivotal role in future-proof fraud prevention by providing acquirers with insights into transaction patterns and customer behavior. By analyzing large datasets, acquirers can identify trends and anomalies that may indicate fraudulent activity. This enables the development of predictive models that can anticipate and mitigate potential fraud risks. Data-driven insights also support informed decision-making and strategy adjustments to enhance the effectiveness of fraud prevention measures in a dynamic threat environment.
How can acquirers balance fraud prevention with customer experience?
Acquirers can balance fraud prevention with customer experience by implementing frictionless security measures that do not disrupt legitimate transactions. This includes using adaptive authentication methods, such as behavioral biometrics and context-aware security, which assess risk without requiring additional customer actions. Acquirers should also ensure transparent communication with merchants and consumers about security protocols and involve them in the decision-making process. By prioritizing both security and convenience, acquirers can maintain a positive customer experience while effectively combating fraud.
What are the challenges acquirers face in future-proofing fraud prevention?
Acquirers face several challenges in future-proofing fraud prevention, including staying ahead of increasingly sophisticated fraud techniques and managing vast amounts of data for real-time analysis. They must also navigate regulatory compliance requirements, which can vary across regions. Additionally, balancing security measures with user experience and integrating new technologies into existing systems can be complex. Acquirers need to invest in continuous innovation and collaboration with industry stakeholders to address these challenges effectively and maintain robust fraud prevention capabilities.