---
title: "Mastercard's AI Checkout Pact Targets the Internet's Next Fraud Problem"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/298630350.md"
description: "Mastercard, Visa, and Ant International launched the 'Know-Your-Agent' initiative to address fraud in agentic commerce. Using Singapore's BuildFin.ai platform, they aim to connect verification protocols to help merchants trust AI shopping agents without compromising authorization rules. While Mastercard reported strong quarterly results with $9.28 billion in revenue, investors remain cautious due to unclear adoption timelines, revenue models, and loss allocation rules for autonomous transactions."
datetime: "2026-09-10T17:52:38.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/298630350.md)
  - [en](https://longbridge.com/en/news/298630350.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/298630350.md)
generator: "portal-rs"
---

# Mastercard's AI Checkout Pact Targets the Internet's Next Fraud Problem

Mastercard , the global payments and financial-technology network, unveiled a Know-Your-Agent initiative with Visa and Ant International on Thursday. Shares slipped approximately 0.4% to $565.095 in morning trading. The chart shows the stock trading 17% below its GF Value estimate of $680.81, pointing to a potentially meaningful valuation gap.

The project tackles a basic problem in agentic commerce: how can merchants trust software that shops on a customer's behalf? Through the Monetary Authority of Singapore-backed BuildFin.ai platform, the companies plan to connect Mastercard Verifiable Intent, Visa's Trusted Agent Protocol and Ant International's Agentic Mobile Protocol. Card networks, digital wallets, marketplaces and AI platforms could then identify approved purchasing agents without surrendering control of their own authorization rules.

Mastercard handled 47.4 billion switched transactions last quarter and generated $9.28 billion in revenue. AI agents could eventually bring more purchasing activity onto its network, but they also create a thorny question: who pays when autonomous software authorizes the wrong transaction? Shared identity standards may reduce fraud and confusion, yet investors still lack an adoption timetable, a defined revenue model and clear rules for allocating losses.

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---
> **Disclaimer: This article is for reference only and does not constitute any investment advice.**