Are Real-Time Transactions and Rising Fraud Threats Disrupting Your Payment Security?
Mitigate fraud risks and streamline compliance by addressing real-time transaction challenges and rising threats with effective security measures.
Real-Time Payment Windows Leave No Review Buffer
Payment companies must authorize transactions in milliseconds, giving fraud teams virtually zero time to spot takeover attempts, mule accounts, or money-mule withdrawals before funds are gone.
Rising Account Takeovers and Synthetic Identities
Criminals use credential stuffing, SIM swaps, and deepfake documents to hijack customer wallets or open synthetic accounts, bypassing basic KYC and draining balances or promo funds.
Chargebacks, Refund Abuse, and Network Penalties
ATO-triggered unauthorized purchases drive costly CNP disputes, higher interchange fees, and potential network fines that squeeze already thin processing margins.
Fragmented Global Compliance Landscape
Keeping pace with PSD2 SCA, FedNow fraud-response rules, 5AMLD, and card-network mandates strains payment teams and invites regulatory scrutiny when controls are inconsistent.
FraudNet: Empowering Real-Time Fraud Prevention Solutions
Enhance security and efficiency by swiftly detecting and blocking threats without disrupting genuine transactions.
Real-Time Transaction Monitoring
Millisecond scoring blocks suspicious logins and payments instantly.
Continuous Entity Screening
Continuous KYB/KYC flags compromised or fake users before funds flow.
Adaptive ML Decisioning
Adaptive ML models cut false positives while spotting novel ATO tactics.
Centralized Case Management
Unified console speeds investigation, audit, and recovery actions.
AI-Native, Millisecond Detection
FraudNet's AI-driven technology scrutinizes device, behavior, and network data in real time, ensuring every payment and login is evaluated instantly. This proactive approach halts account takeovers, safeguarding your operations without disrupting the seamless experience your genuine customers expect.
Unified Fraud, Risk, and Compliance Workspace
Streamline your operations with a unified dashboard that empowers your analysts to efficiently triage alerts, review comprehensive evidence, and generate regulator-ready reports. Minimize operational overhead and accelerate your investigation cycles, enhancing your ability to combat fraud effectively.
Global Intelligence Network
Harness the power of a vast global intelligence network with FraudNet. By analyzing thousands of payment flows, it automatically flags suspicious credentials and devices known from previous attacks, providing your payment company with proactive, day-one protection against fraud.
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 account takeover in the context of payment companies?
Account takeover occurs when a malicious actor gains unauthorized access to a user's payment account. This can lead to fraudulent transactions, theft of funds, and unauthorized changes to account details. Attackers often use methods like phishing, credential stuffing, or social engineering to obtain login credentials or exploit security vulnerabilities to compromise accounts.
How can payment companies prevent account takeover?
Payment companies can prevent account takeover by implementing multi-factor authentication (MFA), monitoring for unusual account activity, and using advanced fraud detection systems. Regularly updating software and educating users about phishing and secure password practices also help mitigate risks. Employing machine learning algorithms to identify suspicious behavior patterns can further enhance security measures.
Why is multi-factor authentication important for preventing account takeover?
Multi-factor authentication (MFA) adds an extra layer of security by requiring users to provide two or more verification factors to access their accounts. Even if an attacker obtains a user's password, they would still need the second factor, such as a text message code or biometric verification, to gain access. This significantly reduces the likelihood of unauthorized account takeover.
What role do machine learning algorithms play in preventing account takeover?
Machine learning algorithms analyze large datasets to identify patterns and anomalies in user behavior. By continuously learning and adapting, these algorithms can detect suspicious activities indicative of account takeover attempts, such as unusual login locations or rapid transaction patterns. This allows payment companies to respond quickly to potential threats and enhance their fraud detection capabilities.
How can users help protect their accounts from takeover attempts?
Users can protect their accounts by using strong, unique passwords for each account and enabling multi-factor authentication where possible. Regularly updating passwords, being cautious of phishing attempts, monitoring account activity for unauthorized transactions, and promptly reporting suspicious activities to their payment provider are proactive steps users can take to safeguard their accounts.
What are some common signs of account takeover that payment companies should monitor?
Signs of account takeover include unexpected changes to account details, such as email or phone number updates, login attempts from unfamiliar locations, unusual transaction activity, and multiple failed login attempts. Payment companies should also be alert to customer reports of unauthorized transactions or emails indicating password resets not initiated by the user.