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.
Audit Readiness, Evidence and Inspection Management
Being audited or inspected: preparing for internal and external audits and regulatory inspections, assembling and presenting the evidence auditors request (artifact packs, configuration snapshots, access records, change-approval and segregation-of-duties records, lineage and reproducibility records, design-decision and requirement traceability, and documentation packages a reviewer can follow), scoping evidence collection under deadline pressure, sampling and sample populations an auditor can trust, showing a control operated across a whole audit period rather than on one day, maintaining continuous audit readiness and audit-trail integrity, coordinating fieldwork, responding to auditor and regulator requests, including audits of deployed models (training data provenance, fairness testing records, third-party components you cannot inspect), disclosing evidence gaps and retention limits honestly, and handling adverse findings, disputed severity ratings and compensating controls professionally. Audit logging is covered as an evidence-strategy question (what must be provable, tamper-evident and retained, including where retention conflicts with privacy), not as log-pipeline engineering. Control design and testing of effectiveness, compliance frameworks and certification standards, compliance automation tooling, and detection-focused log engineering are covered elsewhere.
Health Data Privacy and HIPAA
Protecting health and medical data under HIPAA and equivalent sector rules: PHI, the Privacy and Security Rules, covered entities and business associates, and permitted uses and disclosures. Covers de-identification standards and safeguards specific to healthcare data. Includes how health-data constraints shape system and product design.
Privacy-Preserving Analytics and Experimentation
Doing measurement and data science without over-collecting or exposing individuals: privacy-preserving experiment design, aggregate and on-device measurement, and privacy-respecting attribution. Covers techniques for analytics and A/B testing that limit personal-data use and honor consent. Includes reconciling measurement quality with privacy constraints.
Research Ethics and Consent
Handling personal data in research responsibly: informed consent for studies, research ethics review, participant protection, and secondary-use limits. Covers designing user research and data-collection studies that respect participants and comply with privacy obligations. Includes balancing research value against participant privacy.
Data Subject Rights and Request Handling
Operationalizing individual rights: access, rectification, erasure, portability, restriction, and objection requests. Covers identity verification, response timelines, locating data across systems to fulfill a request, and handling edge cases and exemptions. Includes designing systems that can execute deletion and export reliably at scale.
Cross-Border Data Transfers and Multi-Jurisdictional Compliance
Handling personal-data flows and compliance obligations that span multiple jurisdictions with conflicting or overlapping requirements. Covers adequacy decisions, standard contractual clauses, transfer impact assessments, data residency and localization constraints, and reconciling regional regulations into a control set that satisfies the strictest applicable rule while remaining operable globally. Includes emerging and regional privacy laws beyond the major frameworks and the complexity of operating under many regimes at once.
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.
Regulatory Change Management and Interpretation
Keeping a compliance and privacy program current as regulations, standards, and guidance evolve. Covers monitoring the regulatory landscape, interpreting ambiguous or new requirements, performing impact assessments and gap analyses against current controls, and driving program changes to close gaps. Emphasizes navigating regulatory ambiguity and translating guidance into concrete obligations.
Privacy by Design and Default
Designing privacy into products, architectures and the software development lifecycle instead of bolting it on afterward. Covers the privacy-by-design principles and privacy-protective defaults, data minimization and purpose limitation at design time, personal-data flow mapping and PII inventory for a feature, consent and preference design including consent storage, enforcement across web and mobile and region-specific consent flows, retention and deletion design including legal holds, deletion across backups and immutable logs, provable deletion, and data-subject access, export and erasure flows, PII-safe logging, telemetry and session replay, on-device processing to limit data exposure, privacy-versus-personalization trade-offs, privacy in ML training data, feature stores and erasure from trained models, and privacy review gates, checklists, CI/CD checks, release readiness and requirements traceability inside engineering workflows. Includes designing privacy-first features, reference architectures, remediating privacy design flaws and rollout programs across product teams, and working with product, legal and security partners. Cryptographic and statistical privacy techniques, formal impact assessments, data-protection law, cross-border transfer rules, vendor risk, and encryption or access-control mechanics are covered elsewhere.