Comprehensive End-to-End Fraud Management for Issuers

Empower your team with AI-driven fraud detection, boosting security, compliance, and customer satisfaction with real-time insights.

Is Your Financial Institution Struggling with These Critical Challenges?

Enhance security, streamline operations, and boost customer satisfaction by tackling these vital challenges head-on. Empower your institution today.

Account Takeovers (ATO)

Issuers are hit by phishing, credential-stuffing, and SIM-swap attacks. Once inside, fraudsters drain funds, reroute cards, and alter profiles before detection, triggering chargebacks, Reg E reimbursements, and reputational damage.

Synthetic Identity Fraud

Fraudsters blend real and fake data to open credit lines that appear healthy for months. When the bust-out occurs, issuers swallow 100% of the loss and face scrutiny over weak KYC controls.

False Declines & Customer Friction

Over-aggressive rules reject legitimate spend, driving cardholders to competing issuers. Lost interchange, extra call-center volume, and falling NPS stall portfolio growth.

Rising Compliance Pressure

Evolving PSD2, AML, and CFPB mandates require airtight controls, real-time reporting, and auditable trails. Legacy, siloed systems make meeting deadlines costly and risky.

Transform Security: Fraudnet Solutions to Thwart Modern Threats

Fraudnet empowers issuers to safeguard assets, enhance customer trust, and streamline compliance effortlessly.

Account Takeover Prevention

Block ATOs with device intel, biometrics, and risk-based MFA.

Synthetic ID Detection

Spot fabricated personas via multi-layer ID validation and consortium signals.

Real-Time Transaction Monitoring

Score each swipe instantly; auto-decline only true high-risk events.

Streamlined Compliance Reporting

Produce AML, PSD2, and CFPB reports using detailed data in a unified dashboard.

Key Capabilities For Issuers

AI-Native Real-Time Detection

Harness the power of adaptive AI models that evaluate billions of transaction signals, blocking fraud in milliseconds. Stay ahead of emerging threats by learning from global issuer data, ensuring seamless security and enhancing your reputation in the market.

Unified Case Management

Streamline your fraud operations with a unified console that allows analysts to efficiently triage alerts, link evidence, and resolve disputes. Say goodbye to swivel-chair inefficiencies and reduce investigation costs by up to 40%, enhancing both productivity and your bottom line.

Precision Decisioning

Unlock seamless transactions with our precision decisioning. By drastically reducing false positives, you ensure genuine cardholders enjoy uninterrupted service. Elevate approval rates, enhance revenue streams, and foster unwavering customer loyalty. Experience growth by empowering your clients to spend with confidence.
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 end-to-end fraud management?

Issuer end-to-end fraud management refers to the comprehensive approach taken by financial institutions that issue credit and debit cards to detect, prevent, and mitigate fraud throughout the entire transaction lifecycle. This involves using advanced technology and data analytics to monitor transactions, assess risks, and implement measures to protect cardholders and the issuer from fraudulent activities.

Why is real-time transaction monitoring important in fraud management?

Real-time transaction monitoring is crucial because it allows issuers to detect and respond to suspicious activities immediately. By analyzing transactions as they occur, issuers can identify potential fraud patterns and take proactive measures to prevent fraudulent transactions from being completed, thus minimizing financial losses and protecting customers' accounts.

How do machine learning algorithms enhance fraud detection?

Machine learning algorithms enhance fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies that may indicate fraudulent activity. These algorithms can learn from historical data to improve their accuracy over time, allowing issuers to predict and prevent fraud more effectively. Machine learning also helps in reducing false positives, ensuring legitimate transactions are not mistakenly flagged as fraud.

What role does customer education play in fraud prevention?

Customer education is a critical component of fraud prevention as it empowers cardholders with the knowledge to protect themselves against fraud. By educating customers on best practices, such as recognizing phishing attempts, safeguarding personal information, and regularly monitoring account statements, issuers can reduce the likelihood of fraud and enhance overall security. Informed customers are more vigilant and can act as a first line of defense against fraudulent activities.

How does two-factor authentication (2FA) help in fraud management?

Two-factor authentication (2FA) adds an extra layer of security by requiring users to provide two forms of identification before accessing their accounts or completing transactions. This typically involves something they know (like a password) and something they have (such as a phone or hardware token). By implementing 2FA, issuers can significantly reduce the risk of unauthorized access, even if a fraudster obtains a user's password, thereby enhancing overall fraud protection.

What are the challenges in implementing end-to-end fraud management solutions?

Implementing end-to-end fraud management solutions can be challenging due to the need for advanced technology integration, maintaining data privacy, and managing false positives. Issuers must balance robust security measures with customer convenience, ensuring that fraud prevention strategies do not unduly inconvenience legitimate customers. Additionally, staying ahead of constantly evolving fraud tactics requires continuous updates to the system and collaboration with industry partners to share insights and best practices.