10/27/2026
Building an AI security strategy can feel overwhelming. But for most businesses, it really just starts with a straightforward question: How do we let people use AI without creating unnecessary risk?
One of the biggest concerns is your data. Employees can easily paste customer information, internal documents, financial data, source code, or other sensitive information into an AI tool without realizing where that information may go or how it may be used.
Then there’s the AI tool itself. These tools can sound completely confident and still be wrong. That makes human review especially important when AI is being used for decisions, customer communications, code, legal matters, or other important work.
These are real risks—but the answer isn't banning AI outright. This can push employees toward unapproved tools and give your IT team even less visibility into what’s happening.
Instead, a better approach is to put some guardrails in place. Know which AI tools employees are using. Decide which tools are approved. Establish rules for what data can be shared and train employees on the risks. And most of all, make sure someone—either in-house or your IT provider—is responsible for reviewing your approach as the technology changes.
You don’t need a perfect AI security strategy on day one. But you do need enough structure to help your employees use AI without putting the business at unnecessary risk.
