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GlossaryWhat is Shadow AI?
Employees using ChatGPT without permission, a growing GDPR and compliance risk for your organisation.
In short
Shadow AI is the use of unauthorized AI tools or services by employees without the knowledge of the IT department or management, including sharing company data with external AI platforms.
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What is Shadow AI?
Imagine: an employee copies a customer contract into ChatGPT to create a summary. Or an HR employee uses a free AI writing assistant to generate a job description. That sounds harmless, but in both cases, confidential company information leaves the organization and ends up on a third-party server.
That is Shadow AI. And, just like Shadow IT, it is a phenomenon that exists in every organization, including yours. Research estimates that more than 60% of employees use AI tools without reporting this to IT or management.
Addressing Shadow AI requires a combination of technical measures, policy, and, crucially, offering safe alternatives. Providing employees with a good, secure AI tool for their work tasks reduces the need for uncontrolled tools. M-Files Aino is an example of AI that works within your own secure environment.
Risks of Shadow AI
GDPR violation
Personal data shared with external AI without a data processing agreement is a direct GDPR breach.
Data leakage
Company secrets in public AI tools can be used for model training or accessed by third parties.
Uncontrollable outputs
AI-generated documents without validation can contain errors that nobody checks.
IP risk
Internal intellectual property shared with external AI can in some cases be transferred.
Compliance issues
Finance, healthcare and government have strict rules about where data can be processed.
No audit trail
Shadow AI use leaves no traces. You cannot demonstrate what was done with which data.
How do you structurally address Shadow AI?
Banning does not work. Most employees use Shadow AI because it helps them do their work faster. The solution is a combination of policy, technology, and safe alternatives.
- Step 1
Inventory usage
Through surveys or monitoring, map out which AI tools are used and for what.
- Step 2
Establish an AI policy
Define which AI tools are permitted, for which use cases and with which data.
- Step 3
Provide safe alternatives
Implement M-Files Aino: a built-in AI that works with your own data without external sharing.
- Step 4
Strengthen information architecture
A well-structured M-Files vault makes information directly available and reduces the urge for Shadow AI.
- Step 5
Monitor and evaluate
Regularly re-evaluate the policy. AI tools evolve quickly.
Frequently asked questions about Shadow AI
What is Shadow AI?
Shadow AI is the use of unauthorized AI tools by employees without the knowledge of IT or management, including sharing company data with external platforms such as ChatGPT.
Why is it a risk?
Shadow AI brings GDPR risks: company data is shared without a data processing agreement. Data leakage, IP infringement, and compliance issues are real dangers.
How does it differ from Shadow IT?
Shadow IT includes all unauthorized software and systems. Shadow AI is specific to AI tools. Due to the low threshold of free tools, Shadow AI spreads more quickly.
How do you prevent Shadow AI?
By combining technical measures with safe alternatives. M-Files Aino is an embedded AI that works within your secure environment.
What is the relationship with information architecture?
Shadow AI also arises because information is difficult to find. A well-structured M-Files vault reduces the urge for uncontrolled AI tools.
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