Guide: Card Testing Detection - How to Catch Enumeration Attacks in Real Time

Card Testing Moves in Hours. Most Fraud Stacks Still Think in Days.

Card testing already ranks among merchants' top five fraud types, and the window for catching it is shrinking. Generative and agentic AI have made it cheap to spin up bots at scale, compressing what used to be a slow, exploratory process into something that can run its course in minutes. Catching that requires detection built around behavior across a shared card range, not just what a single merchant sees in isolation. Under card network thresholds like Visa VAMP, closing that window is more than good practice. It's a compliance requirement.

Range-level detection continuously monitors behavior across shared card prefixes, not just individual merchants, to catch coordinated card testing before it reaches chargebacks. In this guide, learn why manual, merchant-level detection is falling behind, and what catching this in real time actually looks like.

Highlights include:

• Why card testing already ranks among merchants' top five fraud types.
• How generative and agentic AI have accelerated the scale and speed of attacks.
• Why merchant-level, static-threshold rules miss coordinated card testing campaigns.
• How range-level detection surfaces patterns invisible at the merchant level.
• Real results: attacks caught in real time, before a single chargeback landed.
• And more!