How does anonymization work in data privacy?
An example of an AI chatbot conversation about anonymization in data privacy.
Can you explain how anonymization works in data privacy?
Sure! Anonymization is the process of removing personally identifiable information from data sets, so individuals cannot be readily identified.
What are some common techniques used for anonymization?
Common techniques include data masking, pseudonymization, and aggregation, which help protect individual identities.
Are there any risks associated with anonymization?
Yes, risks include re-identification if data is not properly anonymized or if combined with other data sources.
How does anonymization differ from encryption?
Anonymization removes identifiable information, while encryption secures data by converting it into a coded format.
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