Gemini DLP

Gemini DLP — Prevent Data Leaks in Google Gemini with Strac

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Gemini DLP

Table of Contents

TL;DR

AI assistants like Google Gemini can unintentionally leak sensitive data such as PII, PHI, or PCI during prompts and file uploads.
Strac Gemini DLP automatically scans and classifies text, images, and files shared with Gemini.
Prevents data exfiltration in real time by redacting or blocking sensitive inputs (e.g., SSN, credit card, medical data).
Supports alerting and audit logs for compliance teams (SOC 2, HIPAA, PCI DSS, GDPR).
Deployable via browser extension or API, ensuring organization-wide AI safety.

✨ Gemini DLP in Action

Gemini DLP: Alert, Warn, Block Sensitive prompt and files

Why Gemini DLP Is Critical in the Age of AI

AI assistants like Google Gemini (formerly Bard) have become integral to enterprise workflows — helping with documentation, code, and data analysis. But these same AI tools can become data exfiltration points if employees accidentally share confidential data.

Example scenarios:

A support engineer pastes a customer’s credit card number into Gemini to debug a billing issue.
A healthcare analyst uploads a CSV of patient records to summarize symptoms.
A marketing team member drops a Google Sheet with customer emails to refine segmentation.

In each case, data is now out of your control — copied into a third-party AI system, possibly retained or logged for model training.

Gemini DLP ensures these incidents never occur.

How Strac’s Gemini DLP Works

Strac’s Browser DLP and API-based inspection engine integrates directly into user workflows. It performs three core functions:

1. Real-Time Data Detection in Gemini DLP

Inspects every prompt, chat message, or file upload to Gemini before submission.
Uses LLM + Regex + Contextual keyword analysis to detect sensitive data such as:
- PII (name, SSN, address, email)
- PHI (diagnosis, MRN)
- PCI (credit card, bank account)
- Confidential data (API keys, source code, internal documents)

2. Remediation: Audit, Block or Warn in Gemini DLP

Once sensitive data is detected, Strac enforces customizable remediation:

Administrators can configure behavior per data type and app policy (e.g., block credit cards but allow masked emails).

Gemini DLP Architecture Overview

Strac Gemini DLP operates agentlessly through a browser extension or lightweight proxy:

Capture layer hooks into Gemini web traffic.
Classification engine inspects payload using Strac’s ML + policy engine.
Remediation engine enforces actions and sends real-time alerts.
SIEM/SOAR Integration pushes events to tools like Splunk, Sumo Logic, or Microsoft Sentinel.

✨ Example: Real-Time Alert to Slack

Slack Redaction: Detect and Redacr sensitive messages and files

Instant alerts when Gemini prompts contain sensitive information.

Gemini DLP Compliance and Audit Benefits

Gemini DLP helps organizations demonstrate compliance with frameworks such as:

Every event is logged with:

User identity and timestamp
Policy triggered and remediation performed
Optional screenshots for audit evidence

✨ Unified DLP Across AI Platforms

Strac protects Gemini, ChatGPT, Copilot, and all major SaaS apps through one unified DLP platform.

Spicy FAQs

What types of data can Gemini DLP detect?

Over 400+ data elements across PII, PHI, PCI, and confidential categories — including SSNs, credit cards, passwords, patient IDs, and secrets. Detection combines regex + context-aware ML for high accuracy.

Can Strac prevent sensitive screenshots or PDFs from being uploaded?

Yes. Strac uses OCR-based visual scanning to extract and analyze text from images, screenshots, and PDFs before upload — blocking or redacting sensitive visual data.

How does Gemini DLP differ from Google Workspace DLP or CASB tools?

Google’s DLP applies to Workspace (Drive, Gmail) via APIs. Strac’s Gemini DLP works at the browser layer, covering Gemini, ChatGPT, Copilot, Claude, and beyond — preventing leaks before they reach the AI system.

What happens when Gemini receives masked data?

Masked data (e.g., “4111-XXXX-XXXX-1234”) lets employees work productively without exposing the full value. Gemini still processes the context, but sensitive details remain protected.

Does Strac store user data?

No. Strac can be deployed in your environment, or data can be tokenized and redacted inline before leaving the browser. Nothing sensitive leaves your network.

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Sharepoint DLP Use Cases

Practical Scenario

A hospital’s billing and administrative teams use SharePoint Online to store patient invoices, medical reports, and insurance forms. While collaborating with external insurance providers, a staff member accidentally updates the permissions on a SharePoint document library to “Anyone with the link,” exposing potentially thousands of patient files containing PHI.

How Strac's Sharepoint DLP Helps

Continuous Data Discovery: Strac automatically scans existing and newly uploaded documents, identifying PHI (e.g., medical record numbers, Social Security Numbers).
Classification & Labeling: Once identified, files are labeled (e.g., “HIPAA Sensitive”), ensuring that administrators know which documents require the highest level of protection.
Visibility into Access: Strac provides real-time insight into who has access to these sensitive documents. Administrators can instantly see if unauthorized users or broad groups have viewing rights.
Revoke Public Links: If a file is publicly accessible, Strac immediately revokes those links and restores restricted access.
Alerts & Quarantines: When someone attempts to share PHI externally, Strac can alert admins, quarantine the file for review, or completely block the action.
Audit-Ready Reports: All actions are logged, enabling quick incident response and demonstrating HIPAA compliance for audits.

Practical Scenario

A mid-sized investment firm uses SharePoint to collaborate on various client files, including:

Credit card statements (subject to PCI-DSS)
ID documents (Driver’s Licenses, Passports, etc.) used for KYC (Know Your Customer) verification
Banking information such as account and routing numbers

An associate accidentally shares a SharePoint folder containing these files with a newly onboarded client who does not require access to all confidential documents. This folder is also accessible to several internal teams outside the immediate project, creating multiple potential exposure points.

How Strac's Sharepoint DLP Helps

Comprehensive Data Discovery: Strac scans both existing and newly uploaded documents in SharePoint for sensitive information such as credit card numbers, bank account details, and ID documents (Driver’s License, Passport formats).
Classification & Automated Labeling: Once identified, Strac applies meaningful labels (e.g., “PCI-DSS Sensitive,” “PII – ID Documents,” “Banking Info”) to ensure these files stand out and are subject to stricter security rules.
Visibility into Access: Strac provides an immediate view of who currently has access to these sensitive files. This allows admins to spot situations where external clients or internal teams unnecessarily have permissions.
Public Access Revocation: If a labeled document (e.g., containing card data or ID scans) is found to be publicly shared or too broadly accessible, Strac automatically revokes these links or permissions, aligning access with the principle of least privilege.
Alerts, Quarantines, and Blocks: When a user attempts to share a labeled document with outside domains—or with an entire department—Strac alerts administrators or quarantines/blocks the file share, depending on policy settings.
In cases where the share is intentional but needs review, admins can approve or deny the request within Strac’s dashboard.
Audit & Compliance: Every sharing event, label assignment, and access revocation is logged, creating a detailed audit trail. This helps demonstrate compliance with PCI-DSS, KYC, AML, and other regulatory requirements.
Automatic reporting simplifies any regulatory or internal compliance audit, reducing the administrative burden on security and compliance teams.

Practical Scenario

A software company keeps source code, product roadmaps, and design specs in SharePoint. Several teams—including external contractors—use the same SharePoint site. A developer accidentally grants a large group, including some non-disclosure–exempt contractors, access to a folder containing patent-pending code.

How Strac's Sharepoint DLP Helps

Holistic File Scanning: Strac inspects documents, PDFs, and archives for code snippets, system designs, and proprietary business terms to detect potential IP.
Intelligent Labeling: Documents identified as containing IP or trade secrets are automatically classified (e.g., “Proprietary IP”), reinforcing the need for restricted sharing.
Real-Time Access Insights: With Strac, administrators can instantly see who has access to IP-tagged files, enabling them to remove unauthorized users or reduce permission scopes.
Immediate Link Removal: If a contractor or external partner is mistakenly granted access to IP, Strac revokes public or unauthorized sharing before the files can be downloaded.
Alerts & Blocking: Strac’s policies can be configured to alert security teams or block external sharing attempts for files containing proprietary content.
Incident Response & Auditing: Detailed logs of every share request, label change, and access revocation aid in quick incident resolution and help prove due diligence if legal issues arise.