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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.

Ensuring Data Protection for the Next Generation AI Applications

Key topics covered:

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