#privacy

Generate a GDPR-compliant privacy policy for a mobile app. Clauses: 1. Data collection types (Personal, Usage). 2. Purpose of data processing. 3. Legal basis for processing. 4. Data retention period. 5. User rights (Access, Erasure, Portability). 6. Third-party data sharing. 7. Security measures. 8. Contact information for Data Protection Officer (DPO). Include cookie policy reference.

Run LLMs locally with Ollama. Usage: 1. Install Ollama CLI. 2. Pull models (Llama 2, Mistral, CodeLlama). 3. Run with ollama run command. 4. API server for integrations. 5. Model customization with Modelfile. 6. Memory and GPU management. 7. Multi-model switching. 8. No internet required after download. Use for privacy, development, or air-gapped environments.

Implement robust data governance for user privacy compliance. Data classification: 1. Public: can be shared freely (marketing content). 2. Internal: company confidential information. 3. Personal: user-identifiable information (PII). 4. Sensitive: payment data, health records, requiring encryption. Privacy compliance framework: 1. Data minimization: collect only necessary information. 2. Purpose limitation: use data only for stated purposes. 3. Consent management: clear opt-in/opt-out mechanisms. 4. Right to erasure: ability to delete user data. 5. Data portability: export user data on request. Technical implementation: 1. Encryption at rest and in transit. 2. Access controls: role-based permissions. 3. Audit logging: track data access and modifications. 4. Anonymization: remove identifiers for analytics. 5. Retention policies: automatic deletion of old data. Tools: OneTrust for consent management, Privacera for data discovery. Regular audits: quarterly privacy impact assessments, annual security reviews.