Data Security vs Data Privacy: Key Differences and What GDPR Requires From Both

Data security protects information against unauthorized access, alteration, loss, and theft through measures such as encryption, authentication, access controls, monitoring, and incident response, while data privacy governs whether personal data may be collected, used, retained, shared, or transferred under lawful and clearly defined purposes. The distinction is central to GDPR, which addresses security primarily through Article 32 and privacy through Articles 5 and 25, requiring lawful processing, data minimization, purpose limitation, and privacy by design in addition to risk-appropriate safeguards. An organization can therefore maintain strong technical protections yet still violate privacy rules by collecting data without a lawful basis, retaining it too long, or using it beyond the agreed purpose. Regulated sectors such as healthcare, financial services, and government commonly manage security and privacy through separate but coordinated controls, owners, and compliance frameworks. The discussion also highlights privacy-enhancing technologies—including confidential computing, federated learning, secure multi-party computation, and fully homomorphic encryption—as approaches intended to enable analytics and AI collaboration while reducing exposure of sensitive data during processing.

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