Data residency is the requirement or decision to store and process data in a specific country or region. It is driven by law, regulation, contracts or customer expectations, and shapes how cloud and AI systems are deployed.
Data anonymization is transforming data so that individuals cannot reasonably be identified from it, even when it is combined with other available information. Teams use it to share health or customer records with researchers, or to build realistic test datasets, without exposing personal details.
The GDPR (General Data Protection Regulation) is the EU law governing how organisations collect, use, store and share personal data about people in the EU. It sets duties for businesses and gives individuals enforceable rights.
Multi-cloud is a strategy of using services from two or more public cloud providers within one organisation. It is chosen for resilience, specific capabilities, regulatory reasons or bargaining power.
Data privacy is the set of practices and controls governing how personal data is collected, used, shared, stored and deleted. It follows the law and what people were told.
A data processing agreement (DPA) is a contract with a supplier that handles personal data on your behalf. It sets out what the supplier may do with that data and how it must be protected.
Public, private and hybrid cloud are the main cloud deployment models, describing where computing resources run and who shares them. Public cloud is shared provider infrastructure, private cloud serves one organisation, and hybrid connects the two.
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