How Do You Protect Your Data While Using AI?
Every dealer I talk to asks some version of this. Is my data safe. Can someone pull it up. What happens when I run a report through an AI.
The answer is simpler than the fear. One rule covers about 90% of it.
Never send raw data to the AI.
That is it. Learn that one rule and you are most of the way to safe. Everything else is detail.
Where your data should live
Your data should live in your lakehouse. A giant database you own, in your name, in your tenant. Not in a chat window. Not on a vendor's server. Not in a tool you rent.
When you ask a question, the AI does not go rummaging through your records. A RAG sits in the middle. It sends the model instructions. It never sends possession of the underlying data. The model learns what it needs to answer. It never holds your customer list, your financials, or your ROs.
Data stays home. Instructions travel. That is the architecture, and the architecture is the security.
Why the public chat window is a trap
Here is the failure mode. Someone pastes a customer record, a payoff, a contract into a public AI tool to get a quick answer. It feels harmless. It is not.
What you type into a public tool can be retained and used to train the model. It leaves your control the moment you hit enter. Samsung learned this the hard way in 2023. Engineers pasted proprietary source code into ChatGPT to debug it. Three times in twenty days. Samsung banned public AI tools company-wide. The tool did exactly what it was built to do. It kept what it was fed.
So the line is clean. Public tools are for public information. The moment it is a customer, a dollar figure, or a legal matter, it does not go in a public window. It goes through a system you own.
The one question to ask every vendor
Vendors will all tell you they are secure. That word means nothing. Everyone says it.
Here is the question that actually separates them: does my raw data ever leave infrastructure I own?
If the honest answer is yes, even once, even briefly, you have found the risk. If the answer is no, if the data stays in your lakehouse and only instructions move, you have found the safe design. It is a yes or no question and it is the only one that matters.
Stop asking "are you secure." Start asking "does my raw data ever leave a system I own." Watch how the room changes when you do.
Prove it, do not assert it
Security you cannot see is a promise. Security you can verify is a fact.
The right move is to publish your posture instead of describing it. Where does the data sit. Who has access, and by what role. What compliance you hold. AWS, for reference, runs workloads for the US Department of Defense and the intelligence community, so the platform is not the weak point. The weak point is always the same: is raw data moving where it should not.
And access is not all or nothing. It is permission-based by role. Across our stores, roughly 90% of access sits at management level and up, with tighter limits on the sensitive categories like payroll. You decide who sees what. The default is closed, not open.
The takeaway
You do not need to become a security engineer. You need one rule and one question.
The rule: never send raw data to the AI. It lives in your lakehouse, a RAG sends instructions, possession never moves.
The question, for every vendor and every tool: does my raw data ever leave infrastructure I own?
Get those two right and you are ahead of almost everyone in the business.
Related on QoreAI
Free resource: The Dealer Data Addendum is an ungated set of eight contract clauses (data ownership, export rights, deletion, schema-change notice, audit rights) you can hand to your attorney and attach to any vendor agreement.
Frequently asked questions
What is the single most important rule for AI data security?
Never send raw data to the AI. Your data lives in a lakehouse you own, and a RAG sends the model instructions rather than possession of the data.
Is it safe to paste customer data into ChatGPT or another public AI tool?
No. Public tools are for public information. What you upload can be retained and used to train the model, and it leaves your control the moment you send it. Samsung banned public AI tools company-wide in 2023 after engineers pasted source code into ChatGPT. Customer data, dollar figures, and legal matters belong in a system you own.
What one question should I ask an AI vendor about security?
Does my raw data ever leave infrastructure I own? "Are you secure" is meaningless because everyone says yes. The raw-data question separates real security from marketing.
Who at the dealership can access the data?
Access is permission-based by role and you choose. In practice, most access sits at management level and up, with tighter limits on sensitive categories like payroll.
Is a cloud platform like AWS secure enough for dealership data?
The platform is not the weak point. AWS runs workloads for US federal agencies. The real risk is whether raw data is moving somewhere it should not, which is an architecture question, not a platform question.