What Information Should Employees Never Put Into an AI Tool?

AI tools have become incredibly useful in the workplace. Yes, many people use them to summarize documents, rewrite emails, brainstorm ideas, troubleshoot technical problems, create reports, analyze data, and save time on repetitive tasks. In many cases, that is exactly what they should be doing.

The problem starts when workers copy sensitive business information into an AI tool without thinking about where that information is going. We have seen the same pattern with new technology for years. A tool becomes easy and convenient, employees start using it before the company has created rules around it, and eventually someone asks, “Wait... what exactly are we putting into this thing?”

That conversation should happen before there is a problem.

So What Should Employees Never Put Into an AI Tool?

If the information would falls into the category of something your company has an obligation to protect, it does not belong in an AI chat box.

That includes:

  • Customer or client information: Especially personally identifiable, medical, financial, legal, or confidential data
  • Authentication Information: Passwords, authentication codes, API keys, recovery codes, and other credentials
  • Internal security information: Vulnerability reports, network configurations, or detailed system documentation
  • Confidential company information: financial reports, pricing, contracts, customer lists, acquisition plans, and internal strategy
  • Employee and HR information: including salaries, reviews, disciplinary records, benefits information, and medical documentation
  • Proprietary material: Source code, product designs, engineering files, research, or other intellectual property

The Legal Consequences Can Be Bigger Than People Realize

One of the biggest vulnerabilities around AI is that putting something into a prompt feels informal, but in effect, it is not the same as mentioning something in a conversation around the office. You are transmitting information to another system, possibly even to another country, and depending on the platform, account type, settings, and agreement in place, that information is often handled outside your company's normal control.

That matters when the information is regulated. Healthcare organizations may have HIPAA obligations. Businesses that process payment card data may have PCI requirements. Law firms may have confidentiality duties. Companies handling personal information may also be subject to privacy laws, contracts, or industry-specific rules. Even when there is no obvious regulation involved, a client contract may prohibit sharing certain information with third parties.

It Can Create a Security Risk

There is another problem that is easier to understand: sensitive information is useful to attackers.

A password is obvious, but security risk is not limited to passwords. An internal network diagram can show how systems connect. A vulnerability report can tell someone where weaknesses exist. Source code may expose authentication logic or internal architecture. A customer list can provide excellent material for phishing attacks.

Individually, some of these details may seem harmless, but put enough of them together and they can tell someone a great deal about how a business operates. That is why employees should be trained to share only the minimum information necessary when using any outside tool. AI especially since the safeguards on AI data are not as cut-and-dry as other tools which might procedurally protect your information in consistent ways.

The Ethical Responsibility

Not every concern is about fines, lawsuits, or hackers. Sometimes it is simply about trust. Customers give businesses information because they expect it to be handled responsibly. Employees do the same with HR information. Vendors, partners, and clients may share confidential documents because they believe those documents will stay within an agreed circle.

Using that information in an AI tool without understanding how it is being handled can violate that trust even when no law is broken. This is especially important because the person entering the information may not actually own it.

An employee may have access to a customer file, contract, medical record, or design because they need it to do their job. That does not automatically mean they have permission to send it somewhere else.

Intellectual Property Can Quietly Leave the Building

This is one of the areas where businesses struggle the most. An engineer wants help describing a design, so they upload the drawing. A programmer is stuck on a problem, so they paste in a large section of proprietary code. A salesperson wants a better proposal, so they upload the entire customer's contract and ask AI to rewrite it.

None of those people are trying to steal company information, but that information can be used to train AI models in ways that might “inspire” an answer to someone else’s question or nudge someone else’s answer to a marketing question in a way that competes more with your business. Now your company’s novel idea is something anyone be informed on if they just ask the right questions.

Your Employees Need Rules Before They Need a Warning

Just telling employees “do not use AI” is unrealistic for most businesses. A better approach is to create clear rules. Employees should know which AI tools are approved, what information may be entered into them, what information is prohibited, and who to ask when they are unsure.

At ComSolutions, we believe AI should make your business more productive without quietly creating a problem that could harm your company down the line.

The technology is moving quickly, but one rule remains pretty simple: If the information is private, sensitive, confidential, or valuable to your business, do not paste it into an AI tool until you know exactly how that tool handles it.