Comprehensive Account Takeover Prevention for Payment Service Providers

Protect your merchants and enhance trust with real-time account takeover prevention, reducing fraud risks and ensuring seamless operations.

Are Fragmented Oversight and Manual Processes Leaving Your Merchant Portfolio Vulnerable?

Streamline oversight and risk management to protect your merchant portfolio from losses, inefficiencies, and competitive disadvantage.

Fragmented Merchant Oversight

Your fast-growing, mixed merchant portfolio makes it hard to spot credential stuffing, mule accounts, and sudden payout redirects before losses cascade.

Manual KYB Risk Assessments

Spreadsheets and batch checks slow onboarding, create blind spots in ownership changes, and leave you exposed to sleeper ATO rings.

Insufficient Real-Time Risk Visibility

Disparate tools can’t surface cross-merchant anomalies instantly, delaying interdiction and driving up chargebacks, fines, and brand damage.

False-Positive Blocking

Static rules overflag good traffic, freezing merchant cash flow, eroding trust, and pushing volume to competing PSPs.

FraudNet Solutions: Transforming Risk Management for Merchants

Streamline risk management and protect revenue with FraudNet's automated solutions for Payment Service Providers.

Policy Monitoring

Auto-enforce chargeback, refund, and velocity limits per merchant.

Millisecond Transaction Screening

Score every CNP and CP payment before authorization clears.

Layered KYB Screening

Verify identity, ownership, and behavior at onboarding.

Dynamic Risk Tiering

Continuously reclassify merchants by live ATO exposure.

Key Capabilities For Payment Service Providers

Unified Risk Command Center

FraudNet integrates merchant, transaction, and device intelligence into a single, streamlined dashboard. Gain immediate, actionable insights across your entire portfolio, empowering you to swiftly detect and address threats, optimize operations, and enhance your competitive edge in the fast-paced payment landscape.

AI-Native Adaptive Detection

Harness our AI-native adaptive detection to stay ahead of evolving ATO tactics. Our self-learning models instantly identify credential stuffing, bot traffic, and social engineering attacks, providing you with real-time protection and ensuring your merchants' and cardholders' security is never compromised.

Precision Decisioning With Fewer False Positives

Our advanced multi-layer analytics slashes false positives by up to 70%, ensuring smoother transactions and protecting your revenue stream. This precision not only safeguards cardholders but also strengthens your merchant relationships, keeping your portfolio competitive and trusted in the market.
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

Speak with our Solutions Expert Today

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FAQs

What is account takeover in the context of PSPs?

Account takeover in the context of Payment Service Providers (PSPs) occurs when a malicious actor gains unauthorized access to a user's account. This can lead to fraudulent transactions, unauthorized changes to account settings, and potential financial loss for both the account holder and the PSP. Preventing account takeover is crucial to maintaining trust and ensuring the security of users' financial information.

How can multi-factor authentication help prevent account takeovers?

Multi-factor authentication (MFA) significantly enhances account security by requiring users to provide two or more verification factors to access their accounts. This could include something they know (password), something they have (a phone or security token), or something they are (biometric verification). By adding layers of security, MFA makes it difficult for attackers to gain unauthorized access, even if they have obtained the user's password.

What role does machine learning play in preventing account takeovers?

Machine learning helps in preventing account takeovers by analyzing patterns and behaviors in real-time to detect anomalies that may indicate fraudulent activities. It can identify unusual login attempts, changes in user behavior, or geographic inconsistencies. By continuously learning from new data, machine learning models can improve their accuracy in detecting potential threats, allowing PSPs to respond swiftly and effectively.

Why is it important for PSPs to regularly update and patch their systems?

Regular updates and patches are crucial for PSPs to protect against vulnerabilities that could be exploited by attackers to perform account takeovers. Software updates often include security patches for known issues, which help in closing potential entry points for cybercriminals. Keeping systems up-to-date ensures that PSPs maintain robust security defenses against evolving threats, thereby safeguarding user accounts and sensitive data.

How can user education contribute to preventing account takeovers?

Educating users about security best practices is essential in preventing account takeovers. By informing users about the importance of strong, unique passwords, recognizing phishing attempts, and the benefits of enabling multi-factor authentication, PSPs empower them to protect their accounts. Awareness programs can significantly reduce the risk of users falling victim to social engineering attacks, which are a common method for initiating account takeovers.

What are some signs that an account takeover might be occurring?

Signs of a potential account takeover include unexpected changes in account settings, such as password or email address modifications, unfamiliar transactions, login attempts from unusual locations or devices, and notifications of security changes that the account owner did not initiate. PSPs should monitor for these indicators and alert users promptly to verify any suspicious activity, thereby preventing fraudulent transactions and minimizing potential damage.