Secure Unstructured Data on Snowflake With Protecto UDF
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Ensuring Data Protection for the Next Generation AI Applications

This whitepaper focuses on how Protecto enhances privacy and security in AI applications by replacing sensitive data with non-sensitive placeholders. It also addresses the implementation of role-based access and data governance to reduce data leak risks.

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Key topics covered:

  • Data protection challenges in AI applications.
  • Limitations of traditional data protection methods like encryption and masking for AI.
  • Specific challenges of role-based access in large language models.
  • Protecto’s tailored solutions for data protection across AI development stages.
  • Case studies demonstrating Protecto’s effectiveness in protecting sensitive data within AI applications.

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