The Hidden Risks of Using Public AI Chatbots for Sensitive Client Data

Article summary: Public AI chatbots can make everyday work faster, but they can also create security and privacy risks when employees enter sensitive business or client information. Clear policies, approved AI tools, and employee training can help businesses take advantage of AI without putting confidential data at unnecessary risk.

An employee is running behind on a proposal, so they open an AI chatbot, paste in a client’s contract, and ask for a quick summary.

It takes seconds. It also may have just exposed sensitive client information to a tool the business never approved.

That is what makes public AI chatbots tricky. Employees can upload contracts, financial information, customer lists, or other sensitive data without realizing they are creating a security or privacy risk.

The answer is not necessarily to ban AI. It is to give employees clear rules about approved tools and data handling so they know what is safe to share and what should never be entered into a public chatbot.

What Actually Happens to the Data You Type In

Once information is entered into a public AI chatbot, what happens next depends on the provider, account type, and privacy settings. Conversations may be stored, reviewed, or used to improve AI models, depending on the tool.

That creates a problem when employees use AI without company oversight. A contract, customer record, or financial document can end up in a third-party system before anyone considers how that information will be handled.

And sensitive information is already making its way into these tools. According to the LayerX State of AI Usage Report 2026, more than 6% of enterprise AI conversations contain sensitive data, including personal, financial, and IT or security information. The report also found that 47% of enterprise AI conversations happen through personal identities rather than corporate-managed accounts.

The takeaway is simple: employees should not assume an AI conversation is private. Before sensitive business or client information goes into a chatbot, the business needs to know which tool is being used and how that data will be handled.

Why Small Businesses Feel This More Than Enterprises

There May Be Less Oversight

Large organizations often have security teams and tools monitoring how sensitive data is handled. Small businesses may not have those resources, making it easier for an employee to paste client information into an unapproved AI tool without anyone noticing.

Client Trust Is on the Line

For law firms, accounting firms, healthcare practices, and other professional services businesses, protecting client information is essential to maintaining trust.

Business-grade AI tools can provide stronger security and administrative controls, but they still need proper oversight. Before turning on a tool like Microsoft Copilot, businesses should understand who can use it, what data it can access, and how that information is protected.

What It Actually Costs When It Goes Wrong

Unapproved AI use can turn into an expensive security problem.

According to IBM’s 2025 Cost of a Data Breach findings, organizations with high levels of shadow AI faced an average of $670,000 in additional breach costs. One in five organizations also reported a breach involving shadow AI, while 63% lacked AI governance policies.

The risk goes beyond the immediate financial cost. Sensitive client information, intellectual property, and other business data can be exposed when employees use AI tools without proper oversight. 

NIST’s Generative AI Profile identifies data privacy as a key generative AI risk, reinforcing the need to manage how sensitive information is collected, used, and exposed.

That is why businesses need to know which AI tools employees are using and what information those tools can access. The same principle applies to AI agents that can take actions on a business’s behalf.

Building an AI Policy That Actually Gets Followed

Define What Is Off-Limits

Employees should not have to guess what they can share with AI. Spell out which information is prohibited, such as client names, financial records, health information, credentials, confidential documents, and data covered by an NDA.

Keep the rules short and specific enough that employees can actually remember them.

Give Employees an Approved Alternative

Simply banning public AI tools may push employees toward using them without telling anyone. Instead, pair your policy with approved tools that meet the business’s security and privacy requirements.

That may include:

• Business-grade AI tools vetted by IT
• Individual company-managed accounts rather than personal logins
• Clear rules about which types of company data can and cannot be entered
• Appropriate privacy, retention, and data-use settings

Make AI Part of Security Training

AI policies should not disappear into an employee handbook. Review the rules periodically and use realistic examples, such as whether it is okay to paste a client contract into a chatbot for a summary.

The goal is not to make AI off-limits. Blanket bans can encourage employees to hide their AI use. A better approach is to give employees useful tools, clear boundaries, and a simple way to ask when they are unsure.

Do You Know What Your Team Is Typing into AI Tools?

AI can be a valuable business tool, but employees need clear boundaries around what information they can share and which platforms they can use.

Unbound Digital can help you evaluate how AI is being used across your business, identify potential security gaps, and develop practical policies that protect sensitive data without getting in the way of productivity. Contact Unbound Digital or call 423-467-7777 to get started.

Article FAQs

What are the biggest public AI chatbot risks for a small business?

Employees may enter client records, financial information, contracts, or other sensitive data into tools the business has not approved. Depending on the service, that information may be stored, reviewed, or otherwise processed in ways that do not meet the company’s privacy and security requirements.

Can employees put client information into AI chatbots?

It depends on the information, the AI service, company policies, client agreements, and any privacy or industry regulations that apply. Employees should never enter sensitive client information into an AI tool unless the business has specifically approved the tool and that use of the data.

Should a small business just ban AI chatbots completely?

Not necessarily. A practical AI policy can establish which tools are approved and what information employees can share. Providing a secure, business-approved alternative can also reduce the temptation to use personal AI accounts for work.