Whitepaper

Saudi PDPL for Enterprise AI and Agents

Protect personal data while enabling useful AI workflows under Saudi requirements.

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What's inside

  • A worked example: a Saudi retailer’s customer support agent
  • The review questions to answer first: users, purposes and what could be exposed
  • Why masking all sensitive data with DLP breaks the AI, and why self-hosting a model does not settle compliance under the Saudi PDPL
  • How to use an externally hosted model when it receives protected values
  • What each recipient receives at each step, and the evidence to keep
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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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