Risk type: Tool Risk
Google Gemini security
Google Gemini security is about controlling what users paste and upload into browser-based AI tools and preventing sensitive data from leaving your environment unintentionally.
Quick answer
The fastest way to reduce AI risk is to control what can be typed, pasted, and uploaded in the browser. Combine governance (approved tools and data boundaries) with browser-layer enforcement. When users browse unknown destinations as part of AI workflows, isolation reduces endpoint exposure by running web content in an isolated container and streaming only rendered output; sessions are deleted after use.
When you need this
- Employees paste internal data into AI prompts to move faster.
- You need policy enforcement in the browser, not just training and documents.
- You want to allow AI productivity while preventing sensitive data loss.
Last updated
2026-01-29
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
Is Gemini risk mostly a data leakage issue?
For most organizations, yes. The most common risk is employees putting sensitive data into prompts or uploads without guardrails.
Can we allow Gemini but block unapproved AI tools?
Yes. Many programs start with an allowlist approach and enforce restrictions for everything else at the browser layer.
How does isolation help with AI tools?
It reduces endpoint risk when users browse unknown destinations as part of AI-assisted research and supports policy boundaries for unapproved sites.
What’s the quickest guardrail to implement?
Block secrets and regulated data from being pasted or uploaded into unapproved AI tools, and restrict AI-related extensions by policy.