Adapting to Evolving Fraud Tactics for Payment Service Providers

Protect Your Business With AI-Native Solutions: Detect Fraud Faster, Enhance Compliance, and Optimize Operational Efficiency in Real-Time.

Is Your Payment System Prepared to Tackle the New Wave of Fraudulent Challenges?

Equip your payment system to swiftly detect and counter evolving fraud threats, safeguarding revenue and enhancing customer trust.

AI-Powered Fraud Escalation

Fraudsters now deploy generative-AI to launch large-scale, rapidly mutating attacks, overwhelming PSP rules engines and inflating chargeback ratios.

Surge in Synthetic Identities

Blended real-and-fake credentials bypass standard KYC, letting criminals open merchant or consumer accounts that abuse PSP rails for months before detection.

Milliseconds to Detect in RTP

Instant payouts leave almost no recall window; legacy batch screening can’t flag high-risk transactions before funds settle, exposing PSPs to direct loss.

Fragmented Global Compliance

PSPs operating across regions juggle PSD2, PCI DSS, AML, and local mandates, risking fines and customer friction when controls lag behind rule changes.

Leverage FraudNet for Cutting-Edge Fraud Prevention Solutions

Fraudnet empowers Payment Service Providers to proactively outsmart fraud, ensuring secure and seamless transactions.

AI-Native Threat Intelligence

Continuously learns new fraud patterns; adapts scoring in real time.

Synthetic Identity Shield

Layered biometric, device, and behavioral checks block fake personas.

Real-Time Decision Engine

Sub-100 ms risk scoring stops fraud before instant payments clear.

Adaptive Compliance Manager

Auto-updates rules to align with evolving AML/KYC regulations.

Key Capabilities For Payment Service Providers

Unified 360° Risk View

Gain a comprehensive view of transactional, identity, and network signals all in one console. This unified approach empowers you to make faster, evidence-based decisions, significantly reducing the time analysts spend switching between tools, and enhancing operational efficiency for your team.

Global Fraud Intelligence Network

Join the Global Fraud Intelligence Network and stay one step ahead of fraudsters. By sharing anonymized fraud signals, you gain early warnings on emerging threats, empowering you to protect your platform from attacks before they can infiltrate and cause damage.

Low-Code Policy Orchestration

Empower your team to quickly fine-tune fraud prevention strategies with intuitive drag-and-drop workflows. A/B test and deploy updates in minutes, eliminating the need for extensive engineering resources. Stay agile and ahead of fraudsters with streamlined, cost-effective policy management.
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 are the latest trends in PSP fraud tactics?

Recent trends in PSP fraud tactics include synthetic identity fraud, where fraudsters create fake identities using real and fabricated information, and account takeover attacks, which involve gaining unauthorized access to a user's account. Additionally, there is an increase in automated bot attacks aiming to test stolen credentials on a large scale. Fraudsters are also leveraging machine learning to mimic legitimate user behavior and evade detection systems.

How can PSPs differentiate between legitimate and fraudulent transactions?

PSPs can differentiate between legitimate and fraudulent transactions by employing advanced machine learning algorithms that analyze transaction patterns, behavioral biometrics, and device fingerprinting. Multi-layer authentication, such as two-factor authentication and dynamic CVV, enhances security. Real-time monitoring and anomaly detection systems also help in identifying unusual transactional behavior. Collaboration with other financial institutions and sharing fraud intelligence can further improve the accuracy of fraud detection.

What role does artificial intelligence play in combating payment fraud?

Artificial intelligence plays a crucial role in combating payment fraud by enhancing the accuracy and efficiency of fraud detection systems. AI algorithms can analyze vast amounts of transaction data in real-time to identify patterns and anomalies indicative of fraudulent activity. Machine learning models continuously learn from new data, improving their predictive capabilities. AI also aids in automating routine tasks, allowing fraud analysts to focus on more complex investigations and decision-making.

How are fraudsters exploiting mobile payment systems?

Fraudsters exploit mobile payment systems by targeting vulnerabilities such as weak app security, insufficient authentication measures, and unpatched software. They use tactics like SIM swapping, where they gain control of a user's phone number, and phishing attacks to steal credentials. Fraudsters also exploit mobile malware to intercept transaction data. Ensuring robust app security, educating users about phishing risks, and implementing strong authentication can help mitigate these threats.

What preventive measures can PSPs implement to reduce fraud risk?

PSPs can implement several preventive measures to reduce fraud risk, including employing multi-factor authentication, using real-time fraud detection systems, and conducting regular security audits. Educating customers about potential scams and safe transaction practices is crucial. PSPs should also adopt tokenization and encryption technologies to protect sensitive data. Furthermore, establishing a rapid response team to address and investigate suspicious activities can significantly enhance fraud prevention efforts.

How can collaboration among financial institutions help combat fraud?

Collaboration among financial institutions can significantly strengthen fraud prevention efforts by facilitating the sharing of fraud intelligence, trends, and best practices. Joint initiatives can lead to the development of industry-wide standards and protocols for detecting and responding to fraud. Collaborative platforms enable real-time information exchange, helping institutions quickly identify and mitigate emerging threats. Additionally, partnerships with law enforcement agencies enhance the ability to track and prosecute fraudsters effectively.