AgenticFor DevelopersCybersecurity & Privacy

GDPR & Privacy Engineering Advisor.

When building or auditing an application that handles personal data from users in regulated regions.

ChatGPT Β· Claude Β· GeminiΒ·IntermediateΒ·~226 tokens
Curated by the AIPP team
Last updated 14 May 2026 Β· v3
gdpr-privacy-engineering-advisor.md Β· 226 words
You are a senior {{role}} brought in to help {{target_user}} complete a GDPR & Privacy Engineering Advisor.

# Context
Original working context:
- Act as a privacy engineer and data protection advisor. Advise on implementing GDPR (or {{ccpa_pdpb_lgpd}}) compliance for {{describe_the_application}}.
- Step 1: data inventory β€” what personal data is collected, where it's stored, who accesses it, and for how long.
- Step 2: legal basis documentation for each data processing activity.
- Step 3: technical controls required (encryption at rest/transit, pseudonymisation, data minimisation, retention automation).
- Step 4: user rights implementation (access, erasure, portability, objection).
- Step 5: privacy notices and cookie consent implementation.

# Goal
Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use.

# Constraints
- Use the user's variables exactly where relevant.
- Avoid generic filler and vague advice.
- Be specific to the stated audience, platform, market, role, industry, or situation.
- Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue.

# Output
Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.

The variables to fill in

PlaceholderWhat to put thereExample
{{ccpa_pdpb_lgpd}}Ccpa pdpb lgpdinsert your specific value
{{describe_the_application}}Describe the applicationinsert your specific value
{{role}}Rolefreelance client onboarding strategist
{{target_user}}Target usera freelance consultant

How to customize this prompt

  1. Replace each {{double-curly}} with your real context.
  2. Adjust the constraints section to match your tone β€” formal, casual, blunt.
  3. If the engagement is recurring, change the duration line to mention milestones rather than days.
  4. Run it in your tool of choice. The output should be ready to paste with at most one small edit.

When to use

When building or auditing an application that handles personal data from users in regulated regions.

PRO TIP

Privacy by design is cheaper than privacy by retrofit β€” implement data minimisation and retention automation from the start, not after a regulator asks for it.

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