Privacy Management & Data Protection Topics
Privacy compliance, data protection frameworks, privacy incident investigation, and regulatory requirements. Covers privacy impact assessments, data classification, regulatory interpretation, and privacy-first operational practices.
Privacy and On Device Design
Designing systems under strong privacy constraints with emphasis on on device processing and edge computing. Topics include minimizing data collection, encrypting data in transit and at rest, local processing on devices, trade offs between on device and cloud processing for latency and accuracy, techniques such as federated learning and anonymization, differential privacy concepts, secure enclaves and hardware based protections, user consent and transparency, and compliance with platform and store guidelines.
Privacy First Architecture
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.