Accelerating Fraud Investigations for Payment Companies

Empower your payment operations with real-time fraud detection, AI-driven insights, and seamless compliance management to boost efficiency and trust.

Are You Struggling with Rising Fraud and Compliance Challenges in Real-Time Payments?

Safeguard your business from escalating fraud and compliance issues, ensuring smooth transactions and preserving customer trust.

High Fraud Rates in Real-Time Payments

Instant payout rails (FedNow, RTP, UPI) settle in seconds, leaving no buffer for manual review. Fraud rings exploit this speed, draining merchant or user balances before traditional controls can react, creating direct loss and brand damage for payment providers.

Account Takeovers & Synthetic Identities

Fraudsters hijack legitimate credentials or stitch together fake personas to pass KYC. Once inside, they reroute funds, launder proceeds, and erode user trust—forcing payment companies to reimburse victims and absorb investigation expenses.

Chargebacks & Payment Disputes

Card-not-present fraud, promo abuse, and refund scams trigger surging chargeback ratios. Excessive disputes raise scheme fees, threaten acquirer relationships, and divert analysts from higher-value investigations.

Regulatory Fragmentation

Global processors juggle PSD2 SCA, 5AMLD, OFAC, and local mandates. Inconsistent rules across regions complicate workflows, inflate compliance costs, and expose firms to fines when audits reveal gaps in screening or recordkeeping.

Fraudnet: Revolutionize Your Fraud Protection with Smart Solutions

Boost security and compliance for payment companies, reducing fraud losses and regulatory headaches instantly.

Real-Time Transaction Monitoring

Score every payment in milliseconds; block or step-up risky traffic.

Continuous Entity Screening

Automate KYB/AML checks at onboarding and throughout the customer lifecycle.

AI-Native Risk Decisioning

Self-learning models cut false positives while surfacing emerging threats.

Unified Case Management

Central workspace prioritizes alerts, stores evidence, and streamlines audits.

Key Capabilities For Payment companies

Real-Time Fraud Detection

Empower your payment systems with millisecond-level risk scores, driven by global consortium data. Instantly accept, challenge, or decline transactions, safeguarding your revenue and maintaining seamless customer experiences—all while staying one step ahead of fraud without added friction.

Adaptive AI With No-Code Controls

Our adaptive AI models continuously learn from your data, while intuitive drag-and-drop rules empower your analysts to swiftly adjust strategies. Stay agile and outpace ever-evolving fraud tactics, ensuring robust protection for your transactions and safeguarding your revenue.

Centralized, Audit-Ready Case Hub

Consolidate all alerts, notes, and evidence in a single, secure hub designed for payment companies. This centralized workspace speeds up investigations, eases regulatory inquiries, and reduces operational expenses, allowing your team to focus on protecting revenue and enhancing user trust.
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 tools use a combination of machine learning, behavioral analytics, and rule-based systems to detect anomalies and suspicious patterns in transaction data, helping to prevent unauthorized access and fraudulent transactions.

How does machine learning help in fraud detection?

Machine learning aids in fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies that may indicate fraudulent activity. It can adapt to new fraud tactics over time, improving its accuracy and reducing false positives. By continuously learning from new data, machine learning models can recognize subtle indicators of fraud that traditional rule-based systems might miss.

What steps should a company take if they suspect fraud?

If a company suspects fraud, it should immediately initiate an investigation by reviewing suspicious transactions and account activities. They should notify their payment processor and possibly law enforcement, depending on the severity. Implementing temporary account freezes or transaction limits can mitigate further damage. Additionally, enhancing their security measures, such as updating software, strengthening authentication processes, and educating staff about fraud prevention, can help prevent future occurrences.

How can companies prevent payment fraud proactively?

Companies can proactively prevent payment fraud by implementing multi-layered security measures, such as two-factor authentication, encryption, and tokenization. Regularly updating and patching software, conducting employee training on fraud awareness, and using advanced fraud detection tools can also reduce risks. Additionally, monitoring transactions in real-time and setting up alerts for suspicious activities can help companies respond quickly to potential threats before they escalate.

What role do chargebacks play in fraud detection?

Chargebacks play a crucial role in fraud detection as they can indicate unauthorized or disputed transactions. A high rate of chargebacks may signal potential fraud or issues with transaction processes. By analyzing chargeback patterns, companies can identify vulnerabilities and take corrective actions, such as enhancing transaction verification methods, improving customer service, or adjusting fraud detection algorithms to minimize future fraudulent activities and reduce chargeback incidences.

What impact does payment fraud have on businesses?

Payment fraud can significantly impact businesses by causing financial losses, damaging reputations, and eroding customer trust. It may also lead to increased operational costs due to chargeback fees, fraud prevention measures, and compliance with regulatory requirements. Moreover, businesses might face legal consequences if they fail to protect customer data adequately. Therefore, addressing payment fraud effectively is crucial for maintaining profitability and sustaining long-term customer relationships.