The Agentic Era: Visa’s OpenAI Partnership, VAMP Pitfalls, and the Threat of Cloned Sites

In this episode of Fraudology, Karisse Hendrick provides a comprehensive debrief following the massive shifts in the world of artificial intelligence and digital fraud. Karisse shares her highlights and lowlights from navigating the industry's rapid evolution, cutting through the future-looking hype to provide practical insights for fraud and payments professionals.

The conversation explores the evolving mechanics of Agentic AI in commerce, detailing how partnerships like the new Visa and OpenAI infrastructure are designed to make AI commerce a reality. Karisse provides an inside look at why OpenAI previously shelved its original agentic project to avoid becoming a merchant of record, shifting away from full structural ownership due to complex liability rules and low initial adoption.

We also explore the "hot topics" dominating the fraud landscape today:

• The VAMP Threshold "Cliff": How Visa’s monitoring programs offer no "trial" or "safety" months anymore, immediately penalizing merchants the first month they cross thresholds with instant fines and fees per chargeback and TC40.
• The Complexity of Agentic Chargebacks: Real-world examples of "authorized" AI purchases where merchants are automatically losing disputes because card brands do not yet have established "compelling evidence" rules or representment provisions for AI agents.
• The Hook of Cloned Sites: Why AI models looking purely for the "best deal" are inadvertently leading consumers straight into elaborate, cloned phishing websites that harvest credit card data and trigger fraudulent descriptors.

Additionally, Karisse dives into the latest real-world data from a recent UK case study highlighting how fraudulent duplicate sites for household brands appeared directly inside ChatGPT's search indexes. We break down the immediate operational steps fraud leaders must take to protect their customer service channels and coordinate with IT to combat malicious DNS activity before these automated losses skyrocket.