Data privacy and protection principles are the foundational governance doctrines that define how organizations collect, process, store, share, and dispose of personal data in a lawful, ethical, and accountable manner. These principles — lawful basis for processing, purpose limitation, data minimization, accuracy, storage limitation, integrity and confidentiality, and organizational accountability — are codified across GDPR, CCPA/CPRA, PIPEDA, LGPD, and 140+ global regulations. For CRISC practitioners, privacy principles are not a compliance checklist: they are a risk governance framework that controls the likelihood and impact of data-related incidents across the enterprise. Privacy governance integrates with IT risk management by establishing what data exists (inventory), why it is held (legal basis), who can access it (controls), and what happens when it is compromised (incident response).
Where it stops · what it isn't
- —IS: The principles governing lawful, ethical, and accountable treatment of personal data (PII, PHI, sensitive categories) throughout its lifecycle — collection, processing, storage, sharing, and deletion.
- —IS: An integrated risk governance discipline that connects data inventory, consent management, rights fulfillment, vendor risk, cross-border transfer controls, and breach notification into a unified framework.
- —IS NOT: Information security controls alone (encryption, firewalls, access management) — those mechanisms protect data that already exists; privacy principles govern whether data should exist and be used at all.
- —IS NOT: A GDPR compliance checklist — regulations are jurisdiction-specific manifestations of underlying principles that predate any single regulation.
- —IS NOT: Data governance broadly — data governance covers quality, lineage, and stewardship; privacy governance specifically addresses personal data rights, legal bases, and accountability obligations to identifiable individuals.
- —IS NOT: A one-time legal project — privacy principles require continuous operational integration across people, processes, and technology.
Connected concepts in the graph
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PART OFIT and Security Domain (CRISC Domain 4)
REQUIRESInformation Security Concepts, Frameworks, Standards and AwarenessData Life Cycle Management
RELATED TOSystem Development Life Cycle (SDLC) Controls
ENABLESEnterprise Risk Management IntegrationThird-Party / Vendor Risk ManagementRegulatory Compliance Programs (GDPR, CCPA/CPRA, PIPEDA, LGPD)
CONSTRAINSAI/ML Systems Processing Personal Data