Merchant Fraud in 2026: Seven Real Patterns & How Practitioners Catch Them

Merchant fraud has fundamentally changed. Today’s fraud rings use synthetic identities, AI-generated storefronts, shared infrastructure, and coordinated merchant networks to bypass traditional onboarding and monitoring controls. The result is a new generation of fraud that often looks legitimate until losses, chargebacks, or regulatory exposure begin to surface.

In this webinar, industry practitioners will unpack real fraud cases taken from acquiring and PayFac environments, revealing how modern schemes operate, why they evade conventional reviews, and the signals that exposed them.

‍

Attendees will learn:

• How fraud syndicates use AI and synthetic identities to scale faster than traditional controls can adapt
• Why many high-risk merchants appear legitimate during onboarding and only reveal risk later in the lifecycle
• The real patterns behind hidden aggregators, ghost merchants, logistics clustering, and negative-option scams
• How leading risk teams investigate fraud at the network level instead of reviewing merchants in isolation
• Which operational signals help identify emerging fraud before losses escalate
• What modern merchant risk programs are doing differently to stay ahead of evolving fraud tactics

The session will feature four detailed case studies, practitioner insights from the field, and a live discussion on how acquiring and PayFac teams are rethinking fraud detection in 2026.

‍