Whitepaper

Data Protection Architecture for Agentic AI

A reference architecture for protecting sensitive data across agent workflows, for architects and AI platform engineers.

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What's inside

  • What changes when AI becomes agentic
  • A reference architecture and who is responsible for what
  • Files, RAG and embedding inputs
  • Tool calls and selective restoration of original values
  • Streaming, growing conversations and protected checkpoints
  • Production controls, failure behavior and an evaluation checklist
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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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