Privacy describes principles and measures to protect personal data and preserve confidentiality, integrity, and availability. Concepts such as data minimization, purpose limitation, pseudonymization, and Privacy by Design guide technical and organizational decisions. It affects system architecture, processes, compliance, and user interactions.
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Privacy is people's control over what information about them is collected, used, shared, and retained.
The concept rests on ideas of private life, confidentiality, and informational self-determination. Laws such as the GDPR make these interests concrete through rights, duties, purpose limitation, and accountability.
For every data flow ask: who is affected, what purpose justifies processing, who can access it, and when does it end? Privacy concerns expectations and power around information; technical security protects it but is not the same thing.
Information relating to an identified or identifiable person.
Data is collected and used for specified, explicit, and legitimate purposes.
A person's right to request actions such as access, correction, or erasure.
Privacy makes data processing assessable from the perspective of affected people. It underpins trustworthy products and lawful processes and requires transparency, proportionality, and meaningful choices.
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