Unleashing Cross-Network Risk Intelligence for Issuers

Enhance fraud detection, minimize false declines, and ensure compliance effortlessly with AI-driven, cross-network risk solutions.

Are These Financial Threats Putting Your Issuer Business at Risk?

Safeguard your business from fraud, protect cardholders, reduce chargebacks, and ensure compliance with evolving regulations effortlessly.

Account Takeovers (ATO)

Phishing, credential stuffing, and SIM swaps let criminals hijack cardholder logins, redirect funds, and leave issuers holding chargebacks and reputational damage.

Synthetic Identity Fraud

Fraudsters blend real SSNs with fake data to open new lines of credit. Balances look healthy, then default, creating unrecoverable losses for the issuer.

False Declines

Over-aggressive rules mislabel good spend as risky. Cardholders abandon the card, slashing interchange revenue and lifetime value for the issuer.

Rising Compliance Pressure

PSD2, AML, and CFPB rules shift constantly. Issuers must update controls fast, prove due diligence, and avoid costly fines or consent orders.

Empower Security with FraudNet's Advanced Solutions

Protect your issuer business by stopping fraud early, reducing losses, and ensuring compliance effortlessly.

Entity Screening & Onboarding

Screen applicants; block risky or sanctioned entities instantly.

Transaction Monitoring

Real-time ML scores each swipe to stop fraud pre-authorization.

Synthetic ID Detection

Cross-field analysis spots fabricated identities before credit issues.

Account Takeover Prevention

Device and behavior biometrics flag hijacked logins in milliseconds.

Key Capabilities For Issuers

Enhanced Fraud Detection

FraudNet’s cutting-edge AI-Native models seamlessly integrate consortium data, device intelligence, and behavioral biometrics to evaluate every transaction in under 300 ms. This ensures robust cross-network fraud protection while maintaining a smooth experience for your valued cardholders, enhancing both security and satisfaction.

Reduced False Positives

Effortlessly customize fraud prevention with low-code controls. Quickly adjust thresholds, A/B test rules, and whitelist trusted transactions, ensuring your cardholders remain loyal and satisfied. Protect interchange revenue while reducing false positives, keeping your operations both efficient and secure.

Streamlined Compliance

Effortlessly stay compliant with PSD2, AML, and regional mandates using our automated SAR filing, sanction checks, and audit-ready logs. Reduce manual work by up to 60%, ensuring you remain ahead of regulatory demands without the need for additional staff.
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 cross-network risk?

Issuer cross-network risk refers to the potential vulnerabilities and financial exposures faced by payment card issuers when their cards are used across different payment networks. This risk arises due to differences in network security measures, transaction processing protocols, and the possibility of fraud or data breaches. Managing this risk is crucial to ensure the security and integrity of transactions and to protect both the issuer and cardholders from potential financial loss.

Why is issuer cross-network risk important for financial institutions?

Issuer cross-network risk is critical for financial institutions because it directly impacts the security and trustworthiness of their payment systems. As transactions occur across multiple networks, the risk of fraud, data breaches, and system incompatibilities increases. Effective management of these risks helps maintain customer trust, ensures compliance with regulatory standards, and protects against financial losses that could arise from fraudulent activities or network failures.

How can issuers mitigate cross-network risk?

Issuers can mitigate cross-network risk by implementing robust security measures such as tokenization, encryption, and multi-factor authentication. Regularly updating fraud detection systems and conducting comprehensive risk assessments of all networks involved can also help. Additionally, collaborating with other financial institutions and networks to share threat intelligence and best practices can further enhance the security infrastructure and reduce exposure to potential risks.

What role does data analytics play in managing issuer cross-network risk?

Data analytics plays a vital role in managing issuer cross-network risk by providing insights into transaction patterns and identifying anomalies that may indicate fraudulent activities. Advanced analytics tools can process large volumes of transaction data in real-time, helping issuers detect and respond to potential threats quickly. By leveraging machine learning and artificial intelligence, issuers can improve the accuracy of fraud detection systems and enhance their ability to predict and prevent cross-network risks.

What are some common challenges faced by issuers in managing cross-network risk?

Common challenges include dealing with varying security standards across different networks, integrating disparate systems, and keeping up with evolving fraud tactics. Issuers must also manage the complexity of cross-border regulations and compliance requirements. Balancing security measures with customer convenience and maintaining seamless transaction experiences while implementing robust risk management strategies can also be challenging.

How does cross-network risk affect cardholders?

Cross-network risk can affect cardholders by potentially exposing them to unauthorized transactions and financial loss if their card information is compromised. It can also lead to inconvenience if cards are blocked or transactions are declined due to suspected fraud. Ensuring cardholder data security and maintaining trust in the payment system are essential, as any breach or fraud incident can lead to dissatisfaction and loss of confidence in the issuer's ability to protect sensitive information.