Employees increasingly install AI writing assistants, coding copilots, and meeting summarizers to work faster. Many organizations see employees using three to five AI tools per day, often without IT review. Tools may connect to corporate data via OAuth tokens or browser sessions, granting access to shared drives, emails, and internal documents the employee did not intend to expose. Security teams frequently lack visibility because many tools do not pass through corporate network monitoring. Gartner data indicates 69% of organizations suspect or confirm prohibited AI tool use, while only 37% have AI governance policies. A structured adoption program can provide security visibility while giving employees approved tools. The approach begins with discovering which AI tools are running across the organization, including OAuth connections, browser-based tools, and other common usage sources.
"A security program can only manage what it can see. The first step is discovering which AI tools are in use across the organization, and most security teams will find the answer surprising. Three areas account for the majority of shadow AI activity. OAuth connections. Most AI tools request access to Google Workspace or Microsoft 365 through OAuth, which grants them read or write permissions to corporate data."
#ai-governance #shadow-ai #oauth-and-access-control #enterprise-security #employee-productivity-tools
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