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.
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.
Data Breach and Privacy Incident Response
Responding to privacy incidents and breaches: detection, containment, investigation, severity and breach classification, and regulator and individual notification within statutory deadlines. Covers complaint intake and resolution, escalation, and balancing transparency against risk during an incident. Includes coordinating the cross-functional response and post-incident remediation.
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
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.
Risk Assessment and Management
Identifying, analyzing, prioritizing, and treating information-security, compliance, and privacy risk. Covers qualitative and quantitative risk assessment methodologies, threat and vulnerability identification, likelihood and impact (and severity-of-harm) scoring, risk registers, and treatment decisions (accept, mitigate, transfer, avoid). Includes privacy-specific assessments such as DPIAs and PIAs: when an assessment is required, how to structure it, and how to weigh likelihood and severity of harm to individuals, plus prioritizing compliance and privacy risk across a portfolio of initiatives. Emphasizes structured, repeatable methodology tied to business context.