Harnessing Real-Time Analytics for Issuers

Gain real-time insights, enhance fraud detection, streamline compliance, and improve customer experience seamlessly with AI-Native analytics.

Is Your Issuer Business Struggling with These Critical Challenges?

Protect your business by addressing critical challenges, reducing fraud losses, enhancing customer satisfaction, and ensuring regulatory compliance effortlessly.

Account Takeovers (ATO)

Phishing, credential stuffing, and SIM-swap attacks let criminals hijack cardholder logins, forcing issuers to absorb unauthorized spend, chargebacks, and reputation damage.

Synthetic Identity Fraud

Fraudsters stitch real and fake data to open new card accounts, creating hard-to-collect balances that distort credit models and inflate provisioning costs for issuers.

False Declines

Legacy rule sets often flag legitimate spend as suspicious. Issuers lose interchange, anger cardholders, and watch active card rates slip to competitors.

Rising Compliance Pressure

Mandates such as PSD2, AML, and CFPB demand granular audit trails and instant reporting, stretching issuer resources and risking costly fines.

Transform Fraud Prevention with FraudNet Solutions Today

FraudNet empowers issuers to fight fraud, enhance customer trust, and streamline compliance with ease.

Transaction Monitoring

Scores every authorization in ms, blocking fraud without slowing approval.

Global Fraud Intelligence Hub

Shares cross-issuer insights to stop emerging fraud without overblocking.

Case Management

Unifies alerts, evidence, and workflows so your team resolves cases fast.

Analytics & Reporting

Real-time dashboards and audit trails prove compliance and refine rules.

Key Capabilities For Issuers

AI-Native Real-Time Detection

Detect fraud instantly with AI-driven models that evolve with each transaction. Our system ensures rapid intervention, protecting your cardholders without delay. Enhance your security measures and maintain trust by staying one step ahead of potential threats, every time.

Frictionless Cardholder Experience

Boost customer satisfaction and retention with our precise scoring system, designed to minimize false declines. Ensure genuine cardholders can transact without interruption, maintaining their loyalty and maximizing your interchange revenue, while safeguarding against potential fraud. Keep your cardholders happy and secure.

Operational & Regulatory Efficiency

Streamline your operations with automated workflows that significantly reduce analyst workload. Stay ahead of regulatory demands with built-in reporting that keeps you audit-ready around the clock. Enhance efficiency and focus on what matters—serving your cardholders and growing your business.
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 real-time analytics?

Issuer real-time analytics refers to the immediate analysis of transaction data by financial institutions that issue credit or debit cards. This process helps issuers monitor and evaluate transaction patterns, detect potential fraud, enhance customer experiences, and make informed decisions instantly. By leveraging real-time analytics, issuers can respond quickly to emerging trends and threats, ensuring secure and efficient transaction processes for their customers.

How does real-time analytics benefit issuers?

Real-time analytics provides several benefits to issuers, including the ability to detect and prevent fraudulent transactions instantly, optimize authorization processes, and improve risk management. Additionally, it enhances customer satisfaction by reducing false declines and ensuring seamless transaction experiences. By leveraging real-time insights, issuers can also tailor marketing strategies to individual customer preferences, ultimately leading to increased customer loyalty and revenue growth.

What technologies are commonly used in Issuer real-time analytics?

Issuer real-time analytics typically utilizes advanced technologies such as machine learning, artificial intelligence, and big data analytics. These technologies enable issuers to process vast amounts of transaction data swiftly and accurately. Machine learning algorithms can identify patterns and anomalies in real time, while AI can automate decision-making processes. Additionally, cloud computing is often employed to store and manage data efficiently, ensuring scalability and flexibility in handling fluctuating transaction volumes.

How do issuers ensure data privacy in real-time analytics?

To ensure data privacy in real-time analytics, issuers implement robust security measures, such as encryption, tokenization, and secure data storage solutions. They also adhere to strict regulatory standards like GDPR and PCI DSS to protect customer information. Additionally, issuers utilize anonymization techniques to process data without exposing personal identifiers and regularly conduct security audits to identify vulnerabilities. By prioritizing data privacy, issuers build trust with customers and maintain compliance with legal requirements.

Can real-time analytics help in reducing chargebacks?

Yes, real-time analytics can significantly reduce chargebacks for issuers by detecting potential fraudulent transactions before they are processed. By analyzing transaction data instantaneously, issuers can identify suspicious activities and take preventive measures, such as declining the transaction or flagging it for further investigation. This proactive approach helps minimize the likelihood of chargebacks, which are often costly and time-consuming for issuers to manage. Additionally, real-time analytics can enhance dispute resolution processes by providing accurate and timely transaction insights.

What challenges do issuers face with real-time analytics?

Issuers face several challenges with real-time analytics, including the need for substantial computational resources to process large volumes of data swiftly. Integrating analytics systems with existing infrastructure can be complex and costly. Additionally, ensuring data accuracy and consistency across various touchpoints is crucial to avoid erroneous insights. Real-time analytics also requires continuous monitoring and maintenance to adapt to evolving fraud tactics and regulatory changes. Despite these challenges, effective implementation can lead to significant operational and security benefits.