By: Scott Kreisberg, Founder and CEO of One Step Secure IT
This article continues the conversation from “Is Your Business’s AI Use Creating Legal Liability?” and explores why retailers face unique AI-related risks, where those risks are emerging, and what steps businesses can take today to reduce their exposure.
Why Retail Is Especially Exposed
Retail businesses handle a high volume of consumer data on a daily basis. That puts them squarely in the crosshairs of privacy regulations that are expanding in scope and enforcement.
Payment Card Industry (PCI DSS) compliance requires that cardholder data be handled with strict controls. Consumer AI tools offer no such guarantees.
State-level consumer privacy laws, including the California Consumer Privacy Act (CCPA) and a growing number of similar laws in other states, impose legal obligations on how businesses collect, store, and share customer information. Feeding customer data into a third-party AI tool can trigger compliance violations under these frameworks.
If your retail operation collects loyalty program data, tracks purchase behavior, or processes any customer-level information, you are already subject to these laws, whether or not you realize it.
Customer trust is also a very real business asset in retail. A data incident tied to unsanctioned AI use does not just create legal exposure. It can directly impact the customer relationships and brand reputation that your business depends on.
The Broader Picture: Regulated Industries Are Just the Beginning
Certain industries handle sensitive, regulated, or legally protected data as a core part of how they operate. They are the first to feel the impact of rulings like Heppner, but they won’t be the last.
Legal: Law firms and in-house legal teams using AI to draft documents, research cases, or summarize contracts may be inadvertently waiving attorney-client privilege on active client matters. The Heppner ruling is a direct warning shot.
Healthcare: Providers, insurers, and healthcare administrators who process patient information through consumer AI tools risk violating HIPAA, the federal law governing protected health information. A HIPAA breach carries significant financial penalties and reputational damage.
Finance and Accounting: CPA firms, financial advisors, and accounting departments handling client financials, tax strategies, or investment data face fiduciary exposure and regulatory scrutiny when that data passes through third-party AI systems.
Government Contractors: Businesses working with federal or state agencies are often bound by strict data handling requirements, such as CMMC (Cybersecurity Maturity Model Certification) and ITAR (International Traffic in Arms Regulations). Consumer AI tools simply do not meet those standards.
Insurance: Underwriting, claims processing, and risk assessment workflows often involve sensitive personal and business information subject to both state and federal privacy laws.
Retail sits in a unique position. It is not traditionally grouped with the most regulated industries, but it handles consumer data at a massive scale, operates under expanding state privacy laws, and processes payment data governed by its own set of strict standards. The exposure is real, and it’s growing.
How AI Is Being Used in Retail Right Now and Where the Risk Lives
Here’s the honest truth about business AI security: your team is almost certainly using AI tools today, with or without a formal policy in place.
Think about the day-to-day ways AI might be used across a retail organization:
• A buyer uses ChatGPT to help draft a supplier negotiation email that includes current pricing and inventory levels
• A store manager summarizes a staff performance review using a free AI tool
• A marketing coordinator generates campaign copy based on customer segmentation data
• A finance team member pastes quarterly sales figures into an AI tool to help build a presentation
• An e-commerce manager uses AI to analyze website traffic patterns that include customer behavior data
Each of these scenarios involves sensitive information flowing out of your organization and into a third-party system that you don’t control, whose data practices you may not fully understand, and which now has legal precedent working against you.
The Cybersecurity Risk You May Not Be Thinking About
The legal exposure from Heppner is significant, but it’s not the only risk on the table.
From a cybersecurity perspective, consumer AI tools represent a category called shadow AI, which refers to tools employees adopt without IT oversight or approval. Shadow AI is already responsible for a growing number of security incidents.
In IBM’s Cost of a Data Breach Report 2025, shadow-AI-related security incidents were involved in 20% of the breaches studied.
When employees use personal or consumer AI accounts for work tasks:
• Your organization has no visibility into what data is leaving
• You have no way to enforce retention or deletion policies
• You have no audit trail if something goes wrong
• You have no contractual guarantee about how that data is stored or used
For retail businesses that operate across multiple locations, manage large frontline workforces, and process customer transactions at high volume, the surface area for this kind of unmanaged AI use is especially wide.
Italy’s privacy regulator announced a €15 million (approximately $17.5 million) GDPR fine against OpenAI in December 2024, showing that even major AI providers can face regulatory enforcement, although the decision was later challenged in court.
Practical Steps You Can Take Right Now
Whether or not you’re ready to implement an enterprise AI solution today, there are steps you can take immediately to reduce your exposure:
Inventory your AI use. Find out which AI tools your team is currently using across all locations and departments, which accounts they’re using (personal vs. business), and what types of information are being entered.
Review your AI tool’s data policy. For any tool your team uses, understand whether your inputs are used for model training, how long they’re retained, and who they can be shared with.
Create a basic AI usage policy. Even a simple one-page document that outlines what information should never be entered into consumer AI tools gives your team clear guidance and reduces your legal risk. This is especially important in retail, where frontline employees may not think twice about the sensitivity of the data they’re handling.
Talk to your IT or cybersecurity partner. If you don’t have a trusted partner who understands both AI and security, that’s a gap worth closing, especially as the regulatory environment continues to evolve.
Evaluate enterprise options. Ask what a secure AI deployment would look like for your business. It may be more accessible and affordable than you think.
The Bottom Line
The Heppner ruling is a signal, not just a legal footnote. It marks the beginning of a more regulated, more accountable era for AI use in business, and retail operations that get ahead of it now will be in a much stronger position than those who wait.
New technology is a competitive advantage when you use it thoughtfully. The goal isn’t to be afraid of AI. It’s to be smart about how you bring it into your operations. That means understanding the risks, putting the right guardrails in place, and making sure the tools your team relies on every day aren’t quietly creating liability you can’t afford.
