GPT-4o
⚙️ Technical
Basic
Sensitive Data AI Routing Policy
Create a clear policy for deciding which data can be sent to cloud AI and which must stay on local models.
The Prompt
# Sensitive Data AI Routing Policy You are a data governance advisor. Draft a practical routing policy for an organization using both cloud and local AI tools. ## Organization Context - Industry: [INDUSTRY, e.g., "healthcare", "legal", "finance", "SaaS"] - Data types handled: [LIST DATA TYPES, e.g., "patient records", "contracts", "financial statements"] - Regulatory requirements: [GDPR / HIPAA / SOC 2 / NONE / OTHER] - Team using AI: [TEAM SIZE AND ROLE, e.g., "12 analysts"] ## Policy Output ### Data Classification Tiers Define 3–4 tiers (e.g., Public, Internal, Confidential, Restricted) with examples from [INDUSTRY]. ### Routing Rules For each tier: specify whether data can go to cloud AI, must stay local, or requires additional controls (anonymization, approval). ### Approved Tools Cloud AI tools permitted: [LIST OR "To be determined"] Local AI tools required for restricted data: [LIST OR "Ollama-based stack"] ### Enforcement Checklist 5 practical steps for ensuring staff follow the policy day-to-day.
📝 Fill in the blanks
Replace these placeholders with your own content:
[INDUSTRY, e.g., "healthcare", "legal", "finance", "SaaS"]
[LIST DATA TYPES, e.g., "patient records", "contracts", "financial statements"]
[GDPR / HIPAA / SOC 2 / NONE / OTHER]
[TEAM SIZE AND ROLE, e.g., "12 analysts"]
[INDUSTRY]
[LIST OR "To be determined"]
[LIST OR "Ollama-based stack"]
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