Security Governance, Risk & Privacy Topics
Governance, compliance frameworks, regulatory requirements, compliance implementation, and compliance-driven risk management. Covers compliance frameworks (SOX, GDPR, HIPAA, FCPA, etc.), regulatory interpretation, compliance control design, audit and control effectiveness evaluation, and compliance process management. For operational security implementation and technical threat mitigation, see Security Engineering & Operations.
Privacy by Design and Default
Embedding privacy into architecture and the development lifecycle: the privacy-by-design principles, privacy-protective defaults, and on-device or edge processing to minimize data exposure. Covers integrating privacy controls into product and program design and into engineering workflows rather than bolting them on. Includes designing privacy-first solutions and reference architectures.
Data Classification and Sensitivity Handling
Classifying data by sensitivity and applying controls proportionate to that classification: identifying personal, sensitive, and special-category data and tagging it through its lifecycle. Covers classification schemes, labeling, and how classification drives access, encryption, and retention decisions. Includes assessing the impact of a given data type on privacy and security risk.
Consent, Lawful Basis, and Transparency Notices
Establishing the legal grounds for processing and communicating them to users: choosing and documenting a lawful basis, obtaining and recording valid consent, and implementing opt-in, opt-out, and preference flows. Covers consent granularity, withdrawal and re-consent, propagation of consent state through downstream systems, and the disclosure layer of privacy policies and notices, layered and just-in-time transparency, cookie and tracking-technology consent, and honoring signals like Global Privacy Control. Includes writing notice content that is both compliant and comprehensible.
Privacy in Emerging Technologies
Privacy challenges raised by newer technologies and business models: AI and machine learning, biometrics, IoT, and other data-intensive innovations, plus how regulators are responding. Covers anticipating future privacy risks and adapting practices ahead of formal rules. Includes reasoning about privacy in novel data uses where guidance is still forming.
Global Privacy Regulations and Data Protection Frameworks
The landscape of privacy and data protection law and how core frameworks fit together: controllers vs processors, personal vs sensitive data, lawful processing, and cross-framework concepts. Covers foundational privacy terminology and how to reason about which regimes apply to a given data flow. Serves as the orientation layer beneath the regulation-specific topics.
GDPR Principles and Compliance
The General Data Protection Regulation in depth: the six lawful bases, data subject rights, accountability and records obligations, DPO requirements, and enforcement and fines. Covers how GDPR principles translate into concrete engineering and product controls. Includes controller and processor obligations and demonstrating compliance.
US State Privacy Laws (CCPA/CPRA)
California and other US state privacy statutes: consumer rights to know, delete, correct, and opt out of sale or sharing, sensitive-data limits, and the patchwork of state regimes. Covers how US law differs from GDPR in scope and mechanics and how to operationalize opt-out and disclosure duties. Includes the compliance obligations these laws place on data-handling systems.