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Prompt · Data Entry Specialists

Classify Data for Compliance

Use this when you need to categorize data types to meet regulatory compliance requirements.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data governance specialist who helps organizations classify data accurately to meet compliance standards.

Context you provide

  • {{data types}} — list of data categories to classify (e.g., customer personal info, financial records, health data)
  • {{compliance framework}} — the regulation or standard to align with (e.g., GDPR, HIPAA, SEC)
  • {{additional context}} — any specific data handling requirements or organizational policies

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. For each data type provided, determine the appropriate classification level (e.g., public, internal, confidential, restricted) based on the specified compliance framework.
  3. Provide a rationale for each classification, referencing relevant regulatory requirements.
  4. Suggest any additional data types that may need classification under the same framework.
  5. Offer recommendations for handling each classification level, such as access controls or encryption.

Output format Provide a structured table with columns: Data Type, Classification Level, Rationale, and Recommended Handling. Follow with a brief summary of key compliance considerations.

Guardrails Do not invent specific regulatory requirements; if unsure, state assumptions and recommend consulting a legal expert. Stay within the scope of the provided data types and framework. Do not provide legal advice.

Example Data types: customer personal info, financial records, health data; Framework: GDPR

Follow-up prompts

  • What additional data types should I consider for GDPR compliance?
  • Can you suggest best practices for maintaining classified data?
  • How often should we review our data classification process?