Webinar Description
Key Takeaways
- Examines how artificial intelligence has transformed card testing from manual fraud attempts into industrialised, automated attacks
- Addresses the limitations of static merchant rules and manual BIN investigations in detecting modern threats
- Presents range-level detection as an alternative to traditional fraud monitoring approaches
- Includes a case study from a national merchant services provider implementing automated monitoring
- Relevant for fraud managers, compliance officers and payments professionals across financial services and e-commerce
Introduction
Card testing has long been a persistent challenge for payment processors and merchants, but the integration of artificial intelligence into fraudulent operations has fundamentally altered the threat landscape. This webinar from Fraud.net examines how AI has industrialised card testing attacks, enabling fraudsters to validate stolen card credentials at unprecedented speed and scale. The session is designed for fraud prevention specialists, compliance officers and payments professionals who need to understand why traditional detection methods are struggling to keep pace with these evolving threats.
About This Event
Led by Fraud.net experts Kevin Shine and Mike Roberts, this live webinar explores the mechanics behind AI-driven card testing and its implications for the payments industry. The session combines technical analysis with practical guidance, featuring a case study of a national merchant services provider that transitioned from manual Bank Identification Number investigations to automated, continuous monitoring. Attendees will have the opportunity to participate in a Q&A session following the presentation.
The Shift in Attack Economics
Traditional card testing involved fraudsters manually attempting small transactions to verify whether stolen card details remained active. This process was time-consuming and relatively easy to detect through velocity checks and transaction pattern analysis. The application of artificial intelligence and machine learning to these attacks has dramatically reduced the cost and time required to test large volumes of compromised cards.
Automated systems can now execute thousands of test transactions across multiple merchants simultaneously, making detection significantly more difficult. The economics have shifted decisively in favour of attackers, who can validate card credentials faster than many fraud teams can investigate suspicious activity. This asymmetry creates substantial challenges for organisations relying on manual review processes or static rule-based detection systems.
Limitations of Traditional Detection Methods
Static merchant rules, which flag transactions based on predetermined thresholds and patterns, were designed for an era of slower, more predictable fraud attempts. These systems often generate excessive false positives while simultaneously missing sophisticated attacks that fall outside their configured parameters. Manual BIN investigations, while thorough, cannot operate at the speed required to intercept real-time threats.
The webinar addresses these operational inefficiencies directly, examining why the gap between attack speed and detection capability continues to widen. For acquirers, processors and issuers, this detection lag creates both financial exposure and compliance risk with card network requirements.
Range-Level Detection and Continuous Monitoring
A central theme of the session is the distinction between range-level detection and traditional merchant-focused rules. Range-level analysis examines patterns across BIN ranges rather than individual merchant accounts, enabling identification of coordinated testing activity that might appear innocuous when viewed in isolation. This approach recognises that sophisticated attackers distribute their tests across multiple merchants to avoid triggering single-point detection systems.
The case study presented in the webinar illustrates how one merchant services provider implemented automated, always-on monitoring to replace periodic manual reviews. This transition enabled faster identification of emerging threats while reducing the operational burden on fraud investigation teams.
Who Should Attend
This webinar is particularly relevant for professionals working in fraud and risk management, compliance, payments operations and information security within financial institutions, payment processors, acquirers, issuers and e-commerce organisations. Those responsible for maintaining card network compliance or evaluating fraud prevention technologies will find the content directly applicable to their operational challenges.
Compliance Considerations
Beyond direct financial losses, undetected card testing activity carries compliance implications. Card networks impose requirements on acquirers and merchants regarding fraud monitoring and reporting. Organisations that fail to identify and address card testing may face penalties, increased scrutiny or restrictions on their processing capabilities. The webinar addresses these compliance dimensions alongside the technical detection challenges.