When building or auditing an application that handles personal data from users in regulated regions.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: Cybersecurity & Privacy - Use case: GDPR & Privacy Engineering Advisor - Source task: - Advise on implementing GDPR (or {{ccpa_pdpb_lgpd}}) compliance for {{describe_the_application_type_data_collected_user_base_location}}. - Step 1: data inventory : 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 Data inventory framework, legal basis documentation, technical controls, user rights implementation, and privacy notice/consent design. # Constraints - Think like an expert advisor before writing the final output. - Ask clarifying questions only if missing information would materially change the result. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Data inventory framework, legal basis documentation, technical controls, user rights implementation, and privacy notice/consent design.
{{double-curly}} with your real context.When building or auditing an application that handles personal data from users in regulated regions.
Privacy by design is cheaper than privacy by retrofit — implement data minimisation and retention automation from the start, not after a regulator asks for it.
Debug this problem systematically. Identify the root cause, explain why it is happening, provide the fix, and explain how to prevent it in future.
Design the high-level architecture for this system. Cover components, data flow, scaling strategy, and key design decisions.
Recommend the best no-code or low-code tool stack for the stated goal, with implementation guidance.
Design the complete analysis approach for the stated question. Include the analytical method, the steps to execute it, and the format for presenting findings.