Breaking Down Data Silos for Issuer Fraud Insights

Unlock Complete Data Insights to Enhance Fraud Detection, Boost Efficiency, and Strengthen Compliance Across Your Issuer Operations.

Are Fragmented Systems and Rising Costs Undermining Your Fraud Prevention Efforts?

Streamline data, accelerate fraud response, cut costs, and simplify compliance. Unlock seamless protection and efficiency for your team.

Fragmented Data Across Issuer Systems

Customer, transaction, and dispute records sit in isolated cores, CRM tools, and legacy data marts, preventing a single source of truth for risk teams.

Slow Fraud Response Times

Analysts waste critical minutes toggling between portals to confirm cardholder history, giving fraudsters a wider window to monetize stolen credentials.

Rising Investigation Costs & False Positives

Manual reconciliation of siloed data inflates head-count, drives alert fatigue, and forces unnecessary card blocks that frustrate loyal customers.

Complex, Costly Compliance Reporting

Scattered logs make it hard to prove PSD2, PCI DSS, and Reg Z adherence, exposing issuers to audit penalties and brand damage.

Empower Security: Unleash FraudNet for Seamless Fraud Prevention

Streamline fraud prevention for issuers with unified data, faster responses, and reduced compliance costs.

Central Data Fabric

Unifies core, CRM, and dispute data into one searchable lake.

Real-Time Cross-Channel Analytics

Streams, scores, and enriches issuer data in milliseconds.

Automated Case Orchestration

Routes alerts, gathers evidence, and updates status automatically.

Self-Service Compliance Dashboards

One-click audit packs for regulators and internal teams.

Key Capabilities For Issuers

AI-Native Unified Fraud Graph

FraudNet seamlessly integrates all issuer data—authorizations, chargebacks, disputes, and device signals—into a dynamic, real-time graph. This innovative approach uncovers hidden patterns and intercepts coordinated fraud attempts before they reach the authorization stage, ensuring enhanced security and operational efficiency.

Single Console for End-to-End Workflow

Empower your teams to investigate, collaborate, and report seamlessly from a single dashboard. Eliminate cross-system toggling to accelerate decision-making, reduce false declines, and cut operational costs, ensuring a more efficient and cost-effective approach to fraud management for issuers.

Instant, Audit-Ready Compliance Reporting

Effortlessly meet compliance standards with our pre-built templates that auto-populate PSD2, PCI DSS, and Reg Z reports. Save time, minimize regulatory risks, and stay focused on maximizing revenue growth—letting you concentrate on what truly matters for 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

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by Industry Analysts

Related Resources

FAQs

What is issuer siloed data visibility?

Issuer siloed data visibility refers to the ability of financial institutions that issue payment cards to access, analyze, and utilize data that is typically isolated within different departments or systems. This visibility helps issuers gain a comprehensive understanding of customer behaviors, transaction patterns, and potential risks, enabling them to make informed decisions, enhance customer service, and improve fraud detection and prevention strategies.

Why is siloed data a challenge for issuers?

Siloed data presents a challenge for issuers because it inhibits a holistic view of customer interactions and transaction histories. This fragmentation can lead to inefficiencies, such as slower response times to fraud incidents, inadequate customer service, and missed opportunities for personalized offerings. Additionally, siloed data can complicate compliance efforts and make it more difficult to detect emerging fraud trends across different data sources.

How can issuers improve data visibility?

Issuers can improve data visibility by integrating data from various silos into a centralized platform or data warehouse. This can be achieved through the use of data integration tools, APIs, and advanced analytics platforms that consolidate and analyze data in real-time. Additionally, adopting machine learning and artificial intelligence can help issuers extract valuable insights from integrated data, enhancing their ability to detect fraud and personalize customer experiences.

What are the benefits of improved data visibility for issuers?

Improved data visibility allows issuers to enhance fraud detection and prevention by identifying unusual patterns and anomalies more effectively. It also enables better customer service through personalized interactions and targeted offerings. Furthermore, consolidated data aids in meeting regulatory compliance requirements and streamlines operational efficiencies. Overall, enhanced data visibility can lead to increased customer satisfaction, reduced fraud losses, and a stronger competitive edge in the financial industry.

What technologies support issuer data integration?

Technologies that support issuer data integration include data warehouses, cloud computing platforms, APIs, and data integration tools like ETL (Extract, Transform, Load) software. Machine learning and artificial intelligence can also play a crucial role in processing and analyzing large datasets. These technologies enable issuers to consolidate data from disparate systems, providing a unified view that enhances decision-making, fraud detection, and customer relationship management.

How does improved data visibility impact fraud detection?

Improved data visibility significantly enhances fraud detection by providing a comprehensive view of transaction data across multiple platforms and channels. This enables issuers to identify suspicious activity more quickly and accurately. With integrated data, advanced analytics and machine learning algorithms can detect patterns and anomalies indicative of fraud, allowing issuers to respond proactively. This reduces the time to detect fraudulent activities and minimizes potential losses, ultimately protecting both the issuer and their customers.