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Saudi Arabia PDPL — Personal Data Protection Law

Data PrivacySaudi ArabiaMiddle East

Saudi Arabia PDPL covers all AI systems processing Saudi citizen data — including data processed outside the Kingdom. The Saudi Data and AI Authority (SDAIA) has been fining healthcare companies and fintech apps. Saudi Vision 2030's $30B AI investment is driving regulatory infrastructure faster than most companies realise.

⚠️
Maximum Penalty
SAR 5 million (~$1.3M USD) per violation + operational suspension
Affects: Any company processing Saudi citizen data — including US and EU companies with Saudi users.

The Developer Problem

Companies building AI products for the Gulf market are launching without SDAIA registration, Arabic-language privacy notices, or cross-border transfer safeguards. SDAIA has made healthcare and financial AI a proactive audit priority.

What You Must Build

These are the exact technical components regulators will check for:

1

SDAIA data controller registration and compliance declaration

2

Arabic-language privacy notice for all AI processing

3

Cross-border transfer safeguards for Saudi citizen data

4

DPIA for any AI system processing sensitive categories

Consequences of Non-Compliance

SAR 5 million (~$1.3M USD) per violation

Operational suspension pending compliance

SDAIA public enforcement database listing

Drop-In Code Solution

Instead of building this from scratch (2–6 weeks of engineering time), use this production-ready package that implements all the required components above.

🔒
Zero-Trust Edge PII Masking Middleware
Let your developers use AI without leaking customer data to OpenAI or Anthropic.
$79
/month
⏱ Setup: 30 minutesNext.jsTypeScriptVercel EdgeNode.js

A lightweight TypeScript middleware wrapper. It intercepts the prompt at the Edge before it leaves your network, uses optimized local regex + lightweight NER to identify and hash all sensitive data, sends the clean prompt to the AI API, and decodes hashes back into real values only inside the secure browser context.

Code Preview
// pii-masker.edge.ts — intercept before prompt leaves network
import { maskPII, unmaskPII } from './pii-masker.edge'

// In your Next.js API route:
export async function POST(req: Request) {
  const { prompt } = await req.json()
  
  // Mask PII before sending to OpenAI
  const { cleanPrompt, vault } = await maskPII(prompt)
  
  const response = await openai.chat.completions.create({
    messages: [{ role: 'user', content: cleanPrompt }]
  })
  
  // Restore real values only for the user's browser
  const safeResponse = unmaskPII(response.choices[0].message.content, vault)
  return Response.json({ content: safeResponse })
}
Files Included
pii-masker.edge.ts
pii-decoder.client.ts
patterns/financial.ts
patterns/healthcare.ts
patterns/general.ts
README.md
LICENSE
saudi arabia pdpl compliance developer 2026, sdaia registration ai application saudi, saudi data protection law arabic privacy notice, saudi pdpl cross-border transfer ai 2026