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“Shadow AI” is a growing business risk for organizations of all types and sizes. Learn the risks.Nov 11, 2025
Cybersecurity, Managed AI Services
| Per research by IBM, nine of every 10 enterprise employees use generative artificial intelligence (AI) applications in their work. Other studies estimate AI usage for small- to medium-sized businesses (SMBs) in general, including generative tools, at greater than half of all employees in small-to-medium-sized businesses (SMBs) use AI, including generative tools. That’s a huge trend escalating at a rapid pace. Which is why what’s called “Shadow AI” is a growing business risk for organizations of all types and sizes – especially in the U.S. where more than 33 million SMBs employ nearly 62 million people. Shadow AI is a type of Shadow IT, which IBM defines as “deployment of any software, hardware or information technology on an enterprise network without an IT department or CIO’s approval, knowledge or oversight.” For example, team members using personal cloud storage for company data rather than the services vetted by the firm’s tech specialists. Shadow AI specifically involves unauthorized use of AI tools, platforms and use cases. For instance, an internal accountant might use an unapproved generative tool to quickly create a financial report. Yes, the finance teammate increases individual efficiency and productivity. But the staff member also exposes the company to compliance issues:
How can a premier managed services provider (MSP) like TeamLogic IT help mitigate the risks of Shadow AI? Contact Us to find out how. |
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