Amazon and Walmart Turn Fraud Prevention Into a Retail Product

Amazon and Walmart are transforming fraud prevention into a retail product, according to a recent announcement. Amazon unveiled a new feature in Alexa for Shopping that enables U.S. customers to inquire whether a suspicious message, email, phone call, or text originated from the company. This development places fraud detection within the same conversational tool consumers utilize for product research, price comparison, and purchase management.

Walmart, meanwhile, is integrating fraud signals across transactions, returns, and customer contacts. Amazon's tool aids customers in determining the trustworthiness of a communication before clicking a link, revealing account information, or transferring money. The retailer receives a significant number of fraud inquiries annually, with 360,000 customers reaching out to customer service to verify the legitimacy of a communication each year.

By describing a suspicious message to Alexa for Shopping, including the sender, arrival time, and content, shoppers can receive a response indicating whether the message is genuine or not. Amazon's system cross-references the reported message's details with its extensive record of billions of communications, analyzing the sender, content, timing, and formatting.

The feedback loop created allows Amazon to provide assistance to shoppers who report scams, contributing to the identification of new scam campaigns and the pursuit of those responsible. The company's enforcement efforts have reportedly thwarted millions of fraudulent calls in 2025. Walmart's fraud prevention strategy encompasses a broader scope, integrating identity, transaction decisions, returns abuse, and post-transaction contacts.

The retailer aims to leverage transaction data, fraud signals, and analytical models to detect threats more effectively over time. Both Amazon and Walmart are essentially turning verification into a customer-facing service and bolstering the underlying machinery for transaction decisions. The objective is to integrate trust into the retail product itself, as the moment of uncertainty before money or information changes hands becomes increasingly crucial in the evolving retail landscape.