What Is Shadow AI and Why Is It a Business Risk?
Shadow AI is the use of AI tools, accounts or applications for business purposes without appropriate organizational visibility or approval. It can create data, security and operational risks even when employees have good intentions.
What Is Shadow AI?
Shadow AI is the use of artificial intelligence tools, accounts, applications or integrations for business purposes without appropriate organizational visibility, approval or governance.
It is similar to Shadow IT—the use of technology outside established company processes—but AI has made the issue significantly easier to create.
An employee can open an AI account and begin using it for business purposes within minutes.
In many cases, the employee isn't intentionally circumventing IT or company policy. They're simply trying to get their work done better or faster.
What Are Examples of Shadow AI?
Shadow AI might include:
- Using a personal ChatGPT or Claude account for company work
- Uploading company documents into an unapproved AI platform
- Using AI browser extensions without organizational review
- Connecting an AI platform to business applications or cloud storage
- Using an AI meeting assistant without understanding how information is handled
- Creating AI agents or automations outside normal technology oversight
- Building an AI-assisted application that gradually becomes part of a department's workflow
These activities don't all represent the same level of risk.
A useful AI governance program should recognize that distinction.
Why Is Shadow AI a Business Risk?
The fundamental problem with Shadow AI is lack of visibility.
Leadership may not know where company information is going, what third parties are processing it, what systems AI can access, or what unofficial technology the organization is beginning to depend upon.
That can create several types of risk.
Data security. Confidential information may be provided to platforms that haven't been approved for that type of data.
Privacy and compliance. Certain information may be subject to legal, regulatory, contractual or industry-specific requirements.
Intellectual property. Employees may use proprietary information without understanding how an AI provider handles it.
Accuracy. AI-generated information can sound authoritative while being incomplete or incorrect.
Business continuity. An employee-created tool may become important without clear organizational ownership or support.
Access. AI integrations may expose more company information than the original use case requires.
Why Do Employees Use Unapproved AI?
Usually, employees are trying to solve a problem.
They may want to summarize information faster, eliminate repetitive work, improve writing, analyze documents or accomplish something their existing technology doesn't do easily.
That matters.
Shadow AI can reveal risk, but it can also reveal unmet business needs and opportunities for improvement.
Mentis believes organizations should understand what employees are trying to accomplish rather than treating every instance of unapproved AI use simply as a policy violation.
Should Businesses Block Unapproved AI?
Sometimes.
A particular AI platform or use case may present enough risk that blocking it is appropriate.
But blocking AI is not the same as governing AI.
AI capabilities are increasingly embedded inside applications employees already use, and new platforms appear constantly.
A sustainable strategy should address the underlying business need.
If employees have legitimate reasons for using AI, organizations should consider providing approved alternatives and clear expectations.
How Can Businesses Reduce Shadow AI?
Start with visibility.
Understand what employees are using, what information may be involved and—just as importantly—what they're trying to accomplish.
From there, organizations can establish approved AI options, clear data expectations, employee education and a path for evaluating new tools and higher-risk use cases.
Most importantly, employees should have a way to bring good ideas forward.
The goal isn't to eliminate experimentation.
It's to move from unknown AI use to informed AI adoption.
How Does Mentis Group Approach Shadow AI?
Mentis views Shadow AI as both a technology risk and an opportunity to understand how employees want to work differently.
Finding unmanaged AI use can reveal areas requiring greater protection. It can also identify employees, workflows and departments where AI or automation could create meaningful business value.
Good AI governance addresses both.
Related Articles
- What Is AI Governance and Why Does a Business Need It?
- Should Employees Be Allowed to Use ChatGPT, Claude, Copilot and Other AI Tools at Work?
- What Information Should Employees Never Put Into AI Tools?
- How Can Businesses Use AI Safely Without Slowing Innovation?
AI may already be in your business whether you've formally adopted it or not. Mentis Group can help you understand what's happening and create a practical approach to responsible AI adoption.
Have a question about your own environment? Schedule a consultation with Mentis Group or call (866) 901-7808.