Accelerating Fraud Investigations for Issuers

Accelerate fraud investigations with AI-driven precision, enhancing security, operational efficiency, and customer trust for issuers.

Is Your Fraud Management System Holding You Back?

Streamline fraud management to cut costs, speed decisions, and enhance customer trust with integrated, efficient solutions.

Manual Fraud Review Bottlenecks

Issuer analysts juggle multiple legacy tools and spreadsheets, slowing triage, extending decision times, and driving overtime costs during volume spikes.

Inefficient Dispute Handling

High chargeback queues, fragmented evidence, and strict Reg E / Reg Z clocks expose issuers to write-offs, fines, and customer churn.

Lack of Real-Time Risk Scoring

Delayed, batch-based models miss in-flight anomalies, letting fraudulent authorizations clear and inflating loss recovery workloads.

Siloed Legacy Systems

Issuer fraud, credit, and customer-service data live in separate stacks, limiting threat visibility and hampering coordinated responses.

Transform Fraud Prevention with FraudNet Solutions

Boost efficiency and security: streamline fraud management, reduce losses, and enhance customer satisfaction for issuers.

AI-Native Real-Time Scoring

Millisecond risk ratings stop fraud before authorization completes.

Centralized Case Dashboard

All alerts, evidence, and tasks managed in one issuer-ready console.

Automated Dispute Workflows

Pre-built Reg E / Reg Z flows cut chargeback handling time.

Comprehensive Data Orchestration

Unifies issuer, network, and third-party data for 360° insight.

Key Capabilities For Issuers

Enhanced Operational Efficiency

Streamline your fraud review process with FraudNet’s guided workflows and instant evidence surfacing. Say goodbye to time-consuming swivel-chair reviews as cases are auto-routed, allowing your analysts to concentrate on high-value investigations and improving overall operational efficiency.

High-Precision Detection

Our adaptive AI-native models are designed specifically for issuers, learning your unique spending patterns to minimize false positives. This ensures you catch emerging fraud in real time, enhancing security and maintaining customer satisfaction while safeguarding your bottom line.

Lower Chargebacks & Happier Cardholders

By swiftly blocking fraudulent authorizations and streamlining dispute resolutions, you significantly reduce chargeback ratios. This not only safeguards your interchange revenue but also strengthens customer trust, ensuring a seamless cardholder experience and long-term loyalty in an increasingly competitive 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

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FAQs

What is issuer fraud investigation?

Issuer fraud investigation involves examining suspicious or unauthorized activities associated with payment cards or accounts issued by financial institutions. This process is designed to detect, prevent, and mitigate fraudulent activities, ensuring the safety and security of both the issuer and the cardholder. The investigation may include analyzing transaction patterns, verifying account information, and collaborating with law enforcement or other stakeholders to resolve fraud cases.

How do issuers detect potential fraud?

Issuers detect potential fraud by using advanced fraud detection systems that leverage machine learning, artificial intelligence, and data analytics. These systems analyze transaction patterns, customer behavior, and historical data to identify anomalies or unusual activities. Additionally, issuers may employ rules-based systems, real-time alerts, and manual reviews to further enhance their fraud detection capabilities and minimize false positives.

What role does data analysis play in fraud investigation?

Data analysis plays a crucial role in fraud investigation by enabling issuers to identify patterns and trends that may indicate fraudulent activities. Through data mining and analytics, issuers can scrutinize large volumes of transaction data, uncover hidden relationships, and predict potential fraud scenarios. By leveraging statistical models and algorithms, data analysis helps in detecting anomalies, assessing risk, and making informed decisions to prevent and address fraud effectively.

What are some common red flags in issuer fraud investigation?

Common red flags in issuer fraud investigation include unusual transaction volumes or frequencies, transactions in high-risk geographic locations, multiple transactions from different locations in a short period, mismatched billing and shipping addresses, and repeated declined transactions. Other indicators are sudden changes in account behavior, use of suspicious or flagged devices, and transactions that do not align with the customer's typical spending patterns.

How do issuers handle confirmed fraud cases?

Once fraud is confirmed, issuers typically take several steps to address it. They may block or close the affected account to prevent further unauthorized transactions, issue a new card or account number to the cardholder, and work with them to identify and reverse fraudulent charges. Additionally, issuers often collaborate with law enforcement to investigate and prosecute fraudsters. Education on fraud prevention and monitoring is also provided to cardholders to reduce future risks.

What measures can issuers take to prevent fraud?

Issuers can implement multiple measures to prevent fraud, such as deploying robust fraud detection systems, regularly updating security protocols, and employing multi-factor authentication for transactions. Additionally, educating customers about fraud prevention, monitoring accounts for unusual activities, and collaborating with other financial institutions and law enforcement agencies can enhance fraud prevention efforts. Keeping abreast of the latest fraud trends and continuously refining fraud detection strategies are also essential in staying ahead of fraudsters.