Data privacy pertains to all the rules and processes that are in place in an organization to manage and protect sensitive data while it’s being used by authorized staff and technology (e.g. for analytics, Test & Dev, or machine learning, etc).
The terms “Privacy” and “Security” are sometimes used synonymously, but they mean different things: Security refers to measures that protect data against unauthorized access.
Privacy and Security are complementary: organizations need to put both in place to sufficiently protect their data against breaches. Privacy technology plays a crucial role in making those data processes consistently safe, repeatable, and auditable – which is key for organizations looking to drive more value from their proprietary data.
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