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.
What is Shadow AI?
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
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.
Frequently asked questions about 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.
Shadow AI brings GDPR risks: company data is shared without a data processing agreement. Data leakage, IP infringement, and compliance issues are real dangers.
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.
By combining technical measures with safe alternatives. M-Files Aino is an embedded AI that works within your secure environment.
Shadow AI also arises because information is difficult to find. A well-structured M-Files vault reduces the urge for uncontrolled AI tools.