DA

Data anonymization

Topic

Heard in 1 episode across 1 show since Aug 2026

Data anonymization is a type of information sanitization process designed to protect individual privacy by removing or modifying personally identifiable information from datasets. This ensures that the individuals described by the data remain anonymous, allowing the information to be shared or analyzed without compromising personal privacy.

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Episodes

1
across 1 show

First heard

Aug 2026

Expert statements

1
1 negative

Episodes per month

Public PodLume episodes featuring it, over the last year.

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What experts have said about Data anonymization

1 statement · 1 negative

  1. Adir ShiffmanNegativeAug 24, 2026· The Contrarians with Adam and Adir

    AI-era anonymization is less reliable than previously assumed.

    “that assumption of anonymization in an AI era is not as robust as it was previously.”

    Listen at 54:34

    Open the episode · GYG’s Blowout Result, Adir’s Luggage Startup, Sydney's Pullman Five and Culture Amp’s AI Fight
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Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

Episodes

1 episode featuring Data anonymization, newest first