SOLUTION · COMPLIANCE

Built for Saudi PDPL & SAMA

Saudi Arabia's Personal Data Protection Law and SAMA's data-handling expectations for financial institutions both push toward masking identifiers before they reach AI systems. PrivoNest ships with native Gulf identifier and Arabic-language detection, not a generic global pattern set.

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Sample PDPL / SAMA masking flow GCC data

Customer / Iqama data

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PrivoNest Engine

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AI-ready output

Gulf customer data, masked before it reaches a model

English — before

Customer Fatima Al-Sayed, Iqama ID 2456871093, IBAN SA4420000001234567891234, email fatima.alsayed@example.sa, phone +966 55 123 4567, based in Riyadh.

English — after

Customer <PER>, Iqama ID <ID>, IBAN <ID>, email <EMAIL>, phone <PHONE>, based in <ADDR>.

العربية — قبل

العميلة فاطمة السيد، رقم الإقامة 2456871093، البريد الإلكتروني fatima.alsayed@example.sa، الهاتف 966+ 55 123 4567، مقيمة في الرياض.

العربية — بعد

العميلة <PER>، رقم الإقامة <ID>، البريد الإلكتروني <EMAIL>، الهاتف <PHONE>، مقيمة في <ADDR>.

Native Gulf Identifier Coverage

Iqama & National ID

Dedicated recognizer for Saudi national ID and Iqama (residency) numbers.

IBAN & Bank Details

Saudi and wider GCC IBAN formats covered alongside standard financial recognizers.

Arabic-Script Detection

Names, addresses and identifiers are recognized directly in Arabic script, not just transliterated text.

Phone & Contact Formats

Gulf-region phone number formats are recognized alongside email and address fields.

Financial Identifiers

Card, account and transaction-related fields relevant to SAMA-regulated financial workflows.

Bilingual by Default

Every request can be processed in Arabic, English, or mixed-language text in the same document.

PDPL / SAMA Capability Checklist

Capability	PrivoNest	AWS Comprehend	Generic / DIY regex
Native Iqama / IBAN detection	✓ Yes	✕ Generic entities only	! Only if you build it
Arabic-script detection	✓ Yes	! Limited coverage	✕ Not by default
Reversible tokenization	✓ PV1 tokens	✕ Not built in	✕ You build it
Self-serve pricing, no sales call	✓ Free tier + $9/50k	! Pay-per-call, AWS setup	! Free software, engineering cost
Free integration support	✓ 24h response target	! Paid support tiers	✕ Self-support only

FAQ

PDPL / SAMA Questions

Does PrivoNest use customer data to train AI models?＋

No. Customer data sent to PrivoNest is processed only to detect, mask, tokenize and — when authorized — restore identifiers. It is not used to train any AI or detection model, and it is not sold or shared for any other purpose.

Does PrivoNest make us PDPL or SAMA compliant?＋

No single tool does. PrivoNest handles the technical data-minimization piece — masking Iqama numbers, IBANs and other identifiers before they reach an AI model or get logged. Your consent processes, breach notification and governance obligations under PDPL and SAMA still need to be built and governed by your own team.

Does detection work directly on Arabic text?＋

Yes — Arabic is processed natively, including mixed Arabic/English documents, without needing a separate translation step first.

Do you help Gulf-region teams integrate this?＋

Yes — free integration support, with a target first response inside 24 hours. Contact us once you have an API key.