Adapting to Evolving Fraud Tactics for Issuers

Stay ahead of evolving fraud tactics with AI-driven solutions for real-time detection, enhanced security, and operational efficiency.

Are You Struggling to Keep Up with Today's Evolving Fraud Tactics?

Stay ahead of fraudsters with adaptive solutions that protect your cardholders and reduce charge-offs, safeguarding your reputation.

Rapidly Evolving Fraud Tactics

Fraud rings now use AI, deepfakes, and botnet automation to evade static rules. Issuers struggle to update models quickly enough, exposing portfolios to rising charge-offs and undermining cardholder trust.

Synthetic Identity Account Creation

Criminals stitch real and fake data to open card accounts that look legitimate on paper. Because repayment histories appear perfect until limits peak, issuers absorb large ‘bust-out’ losses when the identities vanish.

Account Takeover (ATO) Losses

Phishing, credential stuffing, and SIM swaps let attackers hijack customer logins, change contact details, and spend or cash-out quickly. Reimbursement costs and reputational damage escalate for the issuing bank.

Complex Compliance Burden

Keeping pace with PSD2 SCA, AML/KYC, and CFPB dispute timelines strains operations. Manual evidence gathering and reporting divert resources from growth and heighten the risk of regulatory penalties.

Combat Fraud with FraudNet: Advanced Solutions for Security

FraudNet empowers issuers with proactive fraud prevention, safeguarding portfolios and enhancing cardholder trust seamlessly.

AI-Native Real-Time Detection

Scores each authorization in ms, blocking novel fraud before approval.

Synthetic ID Analytics

Detects fabricated personas by linking device, identity, and bureau signals.

Behavioral Biometrics MFA

Flags ATO attempts via keystroke, swipe, and geolocation anomalies.

Automated Compliance Reporting

Generates PSD2, AML, and CFPB audit logs with one-click exports.

Key Capabilities For Issuers

Unified Fraud Intelligence

FraudNet seamlessly integrates issuer, network, device, and consortium data into a powerful AI engine, providing real-time cross-channel risk insights. This enables issuers to make quicker, more precise approve-or-decline decisions, enhancing security and protecting cardholder trust efficiently.

Low-Friction Customer Experience

Our adaptive scoring system ensures that genuine cardholders enjoy a seamless checkout experience, while high-risk transactions prompt necessary security measures. This approach not only safeguards your revenue but also reduces the burden on call centers, maintaining customer satisfaction and operational efficiency.

Turnkey Regulatory Alignment

Effortlessly comply with PSD2, AML/KYC, and CFPB requirements using our built-in rules and automated audit trails. Streamline your operations with auto-generated reports, minimizing manual paperwork and safeguarding against costly fines, so you can focus on growth and customer satisfaction.
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 are some common evolving fraud tactics that issuers need to be aware of?

Issuers need to stay vigilant against evolving fraud tactics such as synthetic identity fraud, where fraudsters create fake identities using real and fabricated information. Other tactics include account takeover through phishing or malware attacks, and card-not-present fraud, which has increased with the rise of online shopping. Issuers should also watch for transaction laundering, where illicit transactions are hidden within legitimate purchases.

How can issuers leverage artificial intelligence to combat fraud?

Issuers can utilize AI and machine learning to enhance fraud detection by analyzing vast amounts of transaction data in real-time. AI systems can identify patterns and anomalies that may indicate fraudulent activity, allowing issuers to respond quickly. By continuously learning from new data, these systems can adapt to emerging fraud tactics and improve accuracy over time, reducing false positives and focusing on genuine threats.

What role does data analytics play in detecting fraud for issuers?

Data analytics plays a crucial role in fraud detection by enabling issuers to analyze transaction data for unusual patterns or behaviors. Advanced analytics can help identify potential fraud by flagging transactions that deviate from a customer's normal spending habits. By using predictive analytics, issuers can assess the likelihood of fraud and prioritize cases for investigation, ultimately improving the efficiency of their fraud detection efforts.

How can issuers educate their customers to prevent fraud?

Issuers can educate their customers by providing resources on recognizing phishing attempts, maintaining strong passwords, and securing personal information. Regular communication, such as newsletters or alerts, can inform customers about the latest scams and protective measures. Additionally, issuers can offer tools like two-factor authentication and transaction alerts to help customers monitor their accounts and respond swiftly to suspicious activities.

What impact does real-time transaction monitoring have on fraud prevention for issuers?

Real-time transaction monitoring allows issuers to identify and respond to potential fraud as it happens, significantly reducing the risk of loss. By analyzing transactions in real-time, issuers can immediately flag suspicious activities for further investigation or block them outright. This proactive approach helps prevent fraudulent transactions from being completed, protecting both the issuers and their customers from financial harm.

How can issuers balance fraud prevention with providing a seamless customer experience?

Issuers can balance fraud prevention with a seamless customer experience by implementing advanced fraud detection systems that minimize false positives and reduce unnecessary transaction declines. Using machine learning models, issuers can accurately assess risk without disrupting legitimate transactions. Providing customers with easy-to-use security features, such as mobile alerts and biometric authentication, can enhance security while maintaining convenience. Clear communication about security measures also reassures customers, fostering trust and loyalty.