Privacy First Architecture Questions

Designing systems where privacy is treated as a first class constraint across product, platform, and data flows. Topics include principles for data minimization and retention, end to end encryption for data in transit and at rest, secure key management and access control, the use of hardware backed security and secure enclaves, on device processing and model inference to reduce data exposure, privacy preserving machine learning techniques such as federated learning and differential privacy, telemetry and analytics approaches that preserve anonymity, consent and governance patterns, privacy threat modeling and risk assessment, legal and regulatory considerations for data handling, and the performance and user experience trade offs that arise when privacy requirements influence architecture from API design to storage and third party integrations.