Google Gemini security

Affected tools

• Google Gemini
• Workspace AI features
• Browser-based AI chat tools
• AI extensions

How it usually happens in the browser

• Employees paste internal documents, customer data, and code snippets into prompts for summarization or rewriting.
• Users upload files (spreadsheets, PDFs) directly into AI web UIs.
• Teams follow AI-generated links to unknown sites during research and troubleshooting.
• Shadow AI usage bypasses approved enterprise controls because browser access is frictionless.
• Outputs are copied into other systems without review, spreading sensitive context.

What traditional defenses miss

• Most controls aren’t designed for prompt boxes and web uploads.
• Encrypted traffic makes content inspection hard without endpoint/browser context.
• Users don’t consistently recognize sensitive data in logs and internal docs.
• Approved tooling is bypassed when unapproved AI endpoints remain accessible.

Mitigation checklist

• Define and enforce “never in prompts” data categories and provide clear examples.
• Use browser-layer controls to restrict paste/upload into unapproved AI tools.
• Prefer approved enterprise AI offerings with admin controls and logging where possible.
• Restrict AI-related browser extensions; enforce an allowlist.
• Train teams on safe prompt patterns and require review for sensitive outputs.

How isolation helps

• Isolation reduces endpoint exposure when users follow AI-generated links to unknown destinations.
• It can enforce safer defaults for risky browsing paths and keep unknown sites in disposable sessions.
• Isolation complements governance controls by reducing the browser attack surface in AI-heavy workflows.

FAQs.