Gemini DLP & AI Security

Google's Gemini is deeply integrated into Google Workspace, developer flows, and enterprise environments. The ease of access to Gemini from standard search bars, Google Docs, and side panels means employees can leak sensitive data with a single click.

Securing Gemini requires a proactive Gemini DLP system that monitors browser entries, workspace integrations, and API interactions.

The Risks of Unmonitored Gemini Usage

Because Google Gemini is embedded within everyday workspace interfaces, it presents unique risks:

• Workspace Integration Prompts: Prompting Gemini within Google Docs, Sheets, or Gmail exposes live document data to Google's LLM ecosystem.
• Developer API Integrations: Developers building internal applications with Gemini APIs may route unencrypted, sensitive datasets to public endpoints without proper filtering.
• Multimodal Inputs: Gemini accepts video, images, audio, and text, making simple text-based filtering insufficient.

TryAIDR Guardrails for Gemini

TryAIDR protects your organization's data when using Google Gemini:

• Multimodal OCR Redaction: When employees upload screenshots or images to Gemini, TryAIDR uses local Optical Character Recognition (OCR) to detect and redact sensitive text and numbers from the image before it's sent.
• Transparent SSL Proxying: Inspects outbound HTTPS traffic to Gemini web interfaces, catching prompt leaks that bypass browser-only extensions.
• Local Model Processing: Ensures zero latency and absolute privacy by scanning data locally on the endpoint using high-performance classification models.

Multimodal OCR Rule Definition

This policy configuration highlights how TryAIDR targets image uploads to Google Gemini:

{
  "application": "Google Gemini",
  "media_type": "image",
  "ocr_inspection": {
    "enabled": true,
    "detect_pii": true,
    "action": "redact_bounding_box"
  }
}