Intelligent Systems Insights | Is Your Team Accidentally Sharing Confidential Information with AI?

AI tools have quickly become part of the everyday workplace.

Employees are using them to summarize documents, rewrite emails, analyze information, create presentations, troubleshoot problems, and save time on routine tasks. The productivity benefits can be significant.

But there is a question every business should be asking:

What information is your team putting into those AI tools?

An employee doesn't have to intentionally mishandle company data to create a security risk. Something as simple as pasting an email, customer information, meeting notes, financial figures, or an internal document into an AI platform can potentially expose information that was never meant to leave the organization.

The risk of sharing confidential information with AI is why businesses need to think about AI use as part of their broader data security strategy.

That's why AI data security needs to become part of the cybersecurity conversation.

The New Data Security Question: Are Employees Sharing Confidential Information with AI?

For years, businesses have trained employees to recognize suspicious emails, protect passwords, and think carefully before clicking unfamiliar links.

AI introduces another behavior that deserves the same attention: what employees copy, upload, or type into AI platforms.

Consider how easily an employee might ask AI to:

• Summarize a customer email or support ticket

• Rewrite a confidential internal message

• Analyze a spreadsheet containing business or customer data

• Review portions of a contract

• Create meeting notes from an internal discussion

• Troubleshoot proprietary code or technical information

• Draft a response using sensitive client details

  
  

The employee may simply be trying to work more efficiently.

The security issue is that information can move from a controlled business environment into a third-party platform in seconds.

Not All AI Tools Handle Your Data the Same Way

One of the challenges surrounding AI data security is that AI platforms don't all operate under the same terms, privacy controls, or data-handling practices.

Businesses should understand which AI tools employees are using and how those platforms handle submitted information.

Depending on the platform, account type, configuration, and service terms, organizations may need to consider questions such as:

Is submitted information retained?

Who can access it?

Can it be used to improve or train models?

What administrative or enterprise security controls are available?

Does using the platform align with our contractual, regulatory, and compliance obligations?

This is why simply telling employees to "be careful with AI" isn't enough.

Organizations need to understand the technology being used and establish clear expectations for how business information should be handled.

Confidential Information Can Be Broader Than You Think

When businesses think about sensitive data, they often think first about passwords, Social Security numbers, financial accounts, or protected health information.

Those are certainly important.

But confidential business information can include much more:

• Customer and employee information

• Pricing and financial data

• Contracts and proposals

• Internal emails

• Meeting notes and transcripts

• Business strategies

• Proprietary processes

• Network and system information

• Intellectual property

• Vendor information

• Nonpublic company data

  
  

Even information that doesn't appear highly sensitive on its own can create risk when combined with other data.

A good rule for employees: If you wouldn't intentionally post the information publicly, don't put it into an unapproved AI tool.

AI Data Security Requires More Than an AI Policy

In Volume 6 of Intelligent Systems Insights, we discussed why businesses need an AI policy.

A policy establishes expectations.

But protecting company information also requires the right combination of people, processes, and technology.

Businesses should know which AI platforms are being used, establish approved tools, educate employees about appropriate data handling, review security and privacy settings, and understand how AI fits into existing cybersecurity and compliance requirements.

For organizations operating in regulated industries, these conversations become even more important.

AI adoption shouldn't create a new path around the security controls you've already worked hard to establish.

Employee Education Is One of Your Strongest Defenses

Technology can provide important safeguards, but employees still make decisions every day about what information they share and where they share it.

That's why AI education should become part of ongoing security awareness.

Employees should understand:

• Which AI tools are approved for business use

• What types of information should never be entered into public AI platforms

• How to recognize confidential or regulated information

• What to do when they're unsure whether information is safe to share

• Who to ask before using a new AI tool for company work

  
  

The goal isn't to make employees afraid of AI.

It's to help them use AI confidently and responsibly.

Secure AI Adoption Starts with Visibility

You can't protect what you don't know is being used.

Before businesses rush to integrate more AI into their operations, they need visibility into how employees are already using it.

That means asking questions.

What AI tools are being used today?

What information is being entered into them?

Which tools have been approved?

Where could confidential information potentially leave the organization?

And do your current cybersecurity policies and technology controls account for AI?

These conversations are becoming an important part of modern IT strategy.

AI Should Make Your Business Smarter Not More Vulnerable

AI has enormous potential to improve productivity, automate repetitive work, and help businesses make better use of their information.

But speed and convenience shouldn't come at the expense of security.

The businesses that benefit most from AI won't simply be the ones that adopt it fastest. They'll be the organizations that understand where AI belongs, how it should be used, and how their information should be protected along the way.

At Preferred Office Technologies, we help businesses build technology environments designed around security, reliability, and long-term business goals. As AI becomes increasingly connected to everyday operations, those foundations matter more than ever.

Before your organization asks, "What can we automate with AI?" there's another question worth answering first: "Is our information ready to be used with AI securely?"

Contact Preferred Office Technologies to start the conversation about cybersecurity, IT strategy, and building a more secure foundation for AI.

Frequently Asked Questions

Can employees safely use AI tools at work?

Yes, but businesses should establish which AI tools are approved and what types of company information employees are permitted to share with them. Security depends on the platform, its configuration, the type of data involved, and the organization's policies and compliance requirements.

What information should employees avoid entering into AI tools?

Unless the tool has been reviewed and approved for that use, employees should avoid entering confidential customer or employee information, passwords, financial data, contracts, proprietary business information, regulated data, or other nonpublic company information.

Why is AI data security important for businesses?

AI tools make it extremely easy to move information outside traditional business systems. Without appropriate policies, employee education, approved platforms, and security controls, organizations can unintentionally create new data exposure and compliance risks.

How can businesses reduce AI data security risks?

Start by identifying the AI tools employees are using, establishing approved platforms, creating an AI policy, educating employees about data handling, and incorporating AI into the organization's broader cybersecurity and risk-management strategy.