Building a Future-Proof Fraud Prevention Strategy for Issuers

Empower Your Fraud Prevention with Real-Time AI Solutions to Enhance Detection, Reduce Costs, and Improve Customer Satisfaction.

Are These Fraud Challenges Costing You Time, Trust, and Revenue?

Protect your bottom line by tackling fraud challenges head-on, restoring customer trust, and maximizing your revenue potential.

Account Takeovers (ATO)

Phishing, credential stuffing, and SIM swaps let fraudsters access cardholder portals, forcing issuers to reimburse losses, rebuild trust, and handle surge-level call-center volumes.

Synthetic Identity Fraud

Fraudsters blend real and fabricated data to open new credit lines, leaving issuers with charge-offs that bypass traditional credit checks and muddle portfolio risk models.

False Declines

Legacy rule sets flag high-value or cross-border spend as suspicious, causing issuers to reject loyal customers’ purchases and lose interchange revenue to competing cards.

Rising Compliance Pressure

Evolving mandates—PSD2 SCA, AML/KYC, CFPB disputes—require issuers to prove robust controls, maintain audit trails, and avoid fines while fraud patterns shift rapidly.

FraudNet: Proactive Protection with Cutting-Edge Fraud Solutions

Streamline fraud prevention, protect your reputation, and boost revenue with FraudNet's smart solutions for issuers.

Transaction Monitoring

Real-time AI scoring blocks risky authorizations pre-clearing.

Account Takeover Prevention

Behavior biometrics flag abnormal logins instantly.

Synthetic ID Detection

Multi-layer data checks expose patched identities fast.

No-Code Rules Engine

Effortlessly create or update rules to keep up with new fraud patterns, no coding required.

Key Capabilities For Issuers

AI-Native Real-Time Detection

FraudNet evaluates each transaction in milliseconds, swiftly adapting to unique issuer threats to intercept fraud before authorization. Experience seamless protection that not only safeguards your operations but also enhances customer trust by ensuring legitimate transactions go uninterrupted.

Unified Case Management

Streamline your operations by consolidating alerts, evidence, and workflows into a single console. This reduces analyst workload and speeds up dispute resolutions for Reg E and Reg Z, allowing you to focus more on customer satisfaction and less on administrative burdens.

Built-In Compliance Controls

Effortlessly meet PSD2, AML, and card-network mandates with dynamic rules, detailed reporting, and auditable trails. Our built-in compliance controls ensure you stay ahead of regulations, allowing you to focus on growth without reallocating critical resources. Stay compliant and competitive effortlessly.

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 issuer future-proof fraud prevention?

Issuer future-proof fraud prevention refers to the strategies and technologies implemented by banks and financial institutions to safeguard against evolving fraud threats. This involves using advanced analytics, machine learning, and AI to predict and mitigate fraudulent activities before they occur. The goal is to create a resilient system that adapts to new fraud techniques, ensuring long-term security and trust for both issuers and cardholders.

How does machine learning improve fraud detection for issuers?

Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraud. It allows issuers to move beyond rule-based systems, offering dynamic and adaptive solutions that evolve with emerging threats. Machine learning models can quickly detect subtle changes in behavior, minimizing false positives and improving the accuracy and speed of fraud detection, which is crucial for effective real-time decision-making.

What role does artificial intelligence play in preventing payment fraud?

Artificial intelligence (AI) plays a critical role in preventing payment fraud by enabling predictive analytics and real-time monitoring. AI systems can process large volumes of data at high speeds, identifying fraudulent activities that traditional systems might miss. By learning from historical data, AI can recognize complex fraud patterns and adapt to new tactics used by fraudsters, thus providing issuers with a proactive defense mechanism against sophisticated fraud attempts.

Why is real-time fraud detection important for issuers?

Real-time fraud detection is crucial for issuers because it allows them to identify and act on fraudulent activities immediately, reducing potential losses and protecting cardholders. With real-time insights, issuers can prevent suspicious transactions before they are completed, minimizing the impact on both the financial institution and the customer. This swift response is essential in maintaining trust and ensuring a seamless experience for legitimate transactions.

How can issuers balance fraud prevention with customer experience?

Issuers can balance fraud prevention with customer experience by implementing systems that minimize false positives and ensure legitimate transactions are processed smoothly. Leveraging advanced analytics and machine learning can help achieve this balance by accurately identifying fraud without unnecessarily hindering genuine transactions. Additionally, offering customers clear communication and support during suspicious activity alerts can enhance their trust and satisfaction with the issuer's services.

What are the challenges of future-proofing fraud prevention for issuers?

Future-proofing fraud prevention for issuers involves several challenges, including staying ahead of rapidly evolving fraud techniques and managing the integration of new technologies without disrupting existing systems. Issuers must also address the balance between security and user experience, ensuring that fraud prevention measures do not negatively impact customer satisfaction. Additionally, maintaining compliance with regulatory requirements and data privacy laws while implementing advanced fraud detection technologies poses an ongoing challenge.