Identifying unauthorized sellers on platforms like Amazon is the easy part. Getting them removed requires building a massive, forensic-level data file that documents every instance of violation. This court-ready evidence is necessary to compel platforms to take action against bad actors.

AI-generated scams are now so convincing that even sophisticated users are fooled. The responsibility has shifted from teaching customers to spot fakes to brands proactively deploying technology to take down threats. Blaming the customer is irrelevant as the brand still loses trust and revenue.

A survey of 2,000 consumers found that 29% who unintentionally buy a counterfeit product hold the official brand responsible for the failure. Critically, these consumers state they will no longer purchase from that brand, directly linking protection gaps to significant, permanent customer churn.

The accessible AI software that helps brands quickly build websites, create ads, and list products is a double-edged sword. These same tools are exploited by fraudsters to accelerate the speed and scale of their nefarious activities, creating an arms race where brands must also adopt AI to defend themselves effectively.

AI tools for text, image, and video generation allow scammers to create high-quality, scalable impersonation campaigns at near-zero cost. This threat, once reserved for major global brands, now affects companies of all sizes, as the barrier to entry for criminals has vanished.

A key operational use of AI at Affirm is for regulatory compliance. The company deploys models to automatically scan thousands of merchant websites and ads, flagging incorrect or misleading claims about its financing products for which Affirm itself is legally responsible.

Faced with exact counterfeit products, Scrub Daddy hired a private investigator to film a factory in China. They then used this evidence to get the Chinese government to raid the facility and seize the inventory, showcasing an aggressive approach to protecting intellectual property.

Large Language Models (LLMs) powering search engines scrape data from sources like Reddit and Amazon. A high volume of negative reviews from customers who received counterfeit goods can poison this data, potentially causing the LLM to exclude your brand from its recommendations, creating a new and significant SEO threat.

To combat rampant product knock-offs, Cuban proposes a simple legislative fix: require foreign sellers on platforms like Amazon to post a substantial bond. This would create a financial deterrent to IP theft and a pool of funds that American creators could claim against when their products are copied.