Whitepaper

Data Protection for Generative AI Applications

How placeholders, role-based access and data governance reduce leak risk in AI applications.

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What's inside

  • 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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More resources

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Datasheet

DeepSight PII and PHI Detection Datasheet

How DeepSight identifies sensitive data by meaning, with results from Protecto’s internal test across five multilingual input sets.
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Datasheet

Protecto Privacy Vault Datasheet

How Privacy Vault finds sensitive data, replaces it with context-preserving tokens and restores permitted values under policy.
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Benchmark

PII and PHI Identification in Unstructured Text

A quantitative benchmark by UT Dallas and DataXpert.
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