Netskope, Microsoft Sensitivity Labels, and pasted data.

This is what Chat GPT says:

if using microsoft purview and sensitivity labels, one can prevent the use of a document from being utilized from an AI site. But if data from within the document is copied, can it be pasted into an AI prompt if using a product like Netskope?

ChatGPT said:

Short answer: Yes, it can be blocked — if Netskope’s DLP policies are configured to inspect clipboard/paste actions into AI sites. But it depends entirely on how your organization configures Netskope.

Here’s the breakdown:

✅ How Purview + Sensitivity Labels Work

Sensitivity labels (with encryption) prevent:

• Opening a protected file in unauthorized apps
• Uploading the protected file to AI/chatbot sites
• Copying content out may be restricted depending on “Copy/Extract” rights

BUT — if the user is permitted to view the file, then Purview cannot fully stop them from manually copying text out. Purview isn’t a clipboard monitor.

So Purview alone does not prevent someone from pasting sensitive text into ChatGPT, Gemini, Copilot, etc.

✅ Where Netskope Comes In

Netskope’s Cloud Access Security Broker (CASB) + DLP engine can detect and block:

1. Clipboard events into AI websites

Netskope can inspect:

• Text being typed into forms
• Text being pasted into form fields
• Text sent in POST requests

If the pasted or typed content matches:

• DLP rules
• Keywords
• Sensitive-pattern detectors (PHI, PII, financial, etc.)
• Purview label classifications synced to Netskope

…then Netskope can block it with a coaching message or hard block.

So if Netskope DLP is properly configured, a user copying data from a labeled document and pasting it into ChatGPT can be blocked.

🧩 The key requirement

Your company must have configured Netskope to:

1. Monitor Generative AI domains

Examples:

• chatgpt.com
• bard.google.com / gemini.google.com
• copilot.microsoft.com
• claude.ai
• perplexity.ai

2. Enable Inline DLP for:

• Clipboard paste
• Web form data
• API requests (POST/PUT)

3. Use DLP policies that recognize the content

This can include:

• Document fingerprints
• Machine-learning classifiers
• Regex patterns
• Mirrored Microsoft Purview sensitivity classifications (Netskope supports this)

Without these settings, Netskope will not block the pasted content.

❓ So what happens if everything is configured properly?

Scenario:
You copy sensitive data from a protected Word file → paste it into ChatGPT.

Outcome with proper Netskope DLP:

• Netskope intercepts the POST request
• Sees sensitive content
• Blocks the request
• Shows a justification prompt or policy block message

Outcome without proper DLP config:

• The paste will go through
• Purview cannot stop it alone

⭐ Bottom line

✔ Purview sensitivity labels protect files.
✔ Netskope protects data movement.
🔒 Using both together CAN prevent copying sensitive data into AI tools — but only if Netskope’s inline DLP policies are correctly configured.