Privacy-enhancing practices as an emerging trend
Newer practices like data minimisation, anonymisation and encryption by default that reduce the personal data an organisation holds and exposes, lowering privacy risk.
Understanding Privacy-enhancing practices as an emerging trend in VCE Data Analytics U4O2
What it does: The default value is the privacy-protective one, so users are protected unless they choose to share more. Encryption is switched on for all stored data, so exposed data is unreadable without the key. Data minimisation reduces the personal data an organisation holds, so there is less to lose in a breach. Encryption by default protects data automatically, so it does not depend on people remembering to apply it. Rising breaches and stricter privacy expectations push organisations to hold less data and protect what remains. Anonymisation removes the link to individuals, so the data held no longer exposes personal information. Limiting retention shrinks the data held over time, so old records cannot be stolen or misused later.
Common mistakes: Data minimisation means collecting only the data that is needed. Adding 'tfn' collects extra personal data. The line should be collect = needed. Limiting retention means deleting records once they are older than the retention period. Using < deletes new records and keeps the old ones. It should be if age > retention_days:.
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