By: Scott Kreisberg, Founder and CEO of One Step Secure IT 

I run an IT and cybersecurity company, so data security is literally my job. I’ve watched how quickly AI tools have become woven into everyday business operations and how quietly the risks have been building underneath the surface.

Most retail leaders I talk to are using AI tools like ChatGPT to draft emails, summarize vendor contracts, brainstorm merchandising ideas, or even analyze sales performance.

And why wouldn’t they?

These tools are fast, impressive, and genuinely useful. But there’s a conversation we need to have about where your data goes when you use these tools and what a recent federal court ruling means for retailers who haven’t been paying close attention.

The “Wild West” Era of AI Is Coming to an End
Every time a significant new technology enters the marketplace, it outpaces the rules designed to govern it. We saw it with the internet. We saw it with social media. And now we’re living it with artificial intelligence.

For the past few years, AI tools have existed in a kind of regulatory gray zone. Businesses adopted them freely, often without policies, without training, and without much thought about the risks. That’s understandable. The AI-powered tools were new, the upside was obvious, and the guardrails simply hadn’t been built yet.

But that window is closing. AI data privacy needs to be part of your retail business strategy.

Courts, regulators, and government agencies are catching up, and the first major signal came in February 2026.

The Ruling Every Retail Leader Should Know About
In U.S. v. Heppner (S.D.N.Y., Feb. 2026), Judge Jed S. Rakoff issued a ruling with a clear and far-reaching message: using consumer-grade AI tools to process sensitive or privileged information can strip away your legal protections.

Here’s the short version of what happened: A defendant in a federal fraud case had used the public, consumer version of Anthropic’s Claude AI to generate analyses. He then shared those outputs with his attorneys and claimed attorney-client privilege over the documents.

The court denied that protection for three important reasons:

• No confidential relationship exists with an AI tool. Claude is not a lawyer. Sharing information with it is not the same as sharing it with your attorney.
• No reasonable expectation of confidentiality. Anthropic’s own privacy policy discloses that inputs and outputs may be used for model training and can be shared with third parties, including, in some cases, the government.
• The information was not prepared under counsel’s direction. The defendant acted independently, not at an attorney’s instruction.

The bottom line: Once you type sensitive information into a consumer AI tool, that information may be legally treated as if you handed it to a third party. And in many cases, that means your legal protections around it, including privilege, work-product doctrine, and confidentiality, can be gone.

What This Means for Retail Businesses in Plain Terms
You don’t have to be involved in a federal investigation for this ruling to matter to your retail operation.

Courts and regulators are beginning to treat consumer AI tools the same way they treat any other external third-party processor. Think about what that means in practice for a retail environment.

If someone on your team is using a free or personal-account version of ChatGPT or a similar tool, the following types of information could potentially be considered disclosed to an outside party the moment it’s entered:

• Customer purchase history, loyalty program data, and personally identifiable information
• Vendor contracts, supplier pricing, and wholesale agreements
• Proprietary product formulas, private-label sourcing strategies, or exclusive brand partnerships
• Seasonal sales forecasts, margin data, and inventory planning documents
• Internal store performance metrics and personnel discussions

Security researchers have found that employees sometimes paste sensitive company information into ChatGPT. Cyberhaven reported that sensitive data accounted for about 11% of prompts in its 2023 enterprise dataset.

Separately, Concentric AI reported that in the first half of 2025, Microsoft Copilot was able to access nearly 3 million confidential records per organization on average due to overshared permissions. This shows the risks are already present in real businesses.

On the consumer version of ChatGPT specifically, unless a user has manually turned off a setting buried in the privacy controls, conversations are used by default to train OpenAI’s models.

If one of your employees pastes a customer’s contact information into ChatGPT to help draft a personalized outreach email, that data doesn’t stay in your building.

The Good News: Secure AI for Retail Businesses Is Available 
None of this means you need to ban AI from your retail operation. In fact, trying to eliminate AI use entirely is both impractical and unnecessary. The right answer isn’t less AI. It’s smarter AI use.  

There are enterprise-grade and business-specific AI solutions available that are built with exactly these concerns in mind. The right tools can give your team the productivity benefits of AI while keeping your data where it belongs: inside your organization.  

Here’s what to look for in a secure AI solution:  

Data stays within your environment. Your prompts and outputs are not used to train external models and are not accessible by the AI provider. 

Access controls are in place. You can define who on your team can use AI tools and for what purposes. For a retail business, that might mean different levels of access for store-level staff versus corporate teams. 

Audit logging is enabled. If a question arises about what data was accessed or shared, you have a record. 

Compliance alignment. The solution is built to meet the requirements of your industry, whether that’s PCI DSS, state consumer privacy laws, or other applicable standards.  

Deployment is manageable. You don’t need a six-month implementation project. Solutions exist that can be operational quickly and scaled over time, whether you have five locations or five hundred.  

Businesses must deploy secure, controlled AI environments tailored to their size and industry.  

From fast, easy-to-deploy AI-as-a-Service to private, language models your team can use with confidence, retail businesses must stay productive and protected without giving up the tools that make work more efficient.