Employees are already using AI.
They may use ChatGPT to rewrite emails, Claude to summarize documents, Gemini to analyze spreadsheets, Perplexity to research topics, or GitHub Copilot to assist with code. The productivity value is real. The security risk is also real.
The problem is not that people use AI.
The problem is that company data can leave the organization through AI tools without the same controls we normally apply to email, SaaS applications, cloud storage, source code repositories, or production systems.
For an organization with managed devices, the recommended answer is not “block all AI.” That usually drives shadow usage. A better approach is to build an AI control architecture that separates three different use cases:
