Customer [PERSON_a41], civil number [ID_77c], reported a delayed claim.
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| Rule | Requirement | Protecto solution |
|---|---|---|
| Cross-border transfersPDPL Art. 23 Executive Regulations Arts. 37 to 40 | Express consent unless the data is anonymized. The recipient must give adequate protection. You assess the transfer, and MTCIT can ask to see the assessment. | Replaces personal data with tokens inside your environment before data goes to an external model. The provider receives tokens, not readable personal data. |
| Sensitive dataPDPL Art. 5 Executive Regulations Arts. 5 to 10 | A Ministry permit to process health, biometric, genetic, and other listed categories. MTCIT decides within 45 days. | Detects health and other sensitive entities and keeps them out of the data sent to external models. |
| Security controlsPDPL Art. 13 Executive Regulations Art. 26 | Technical and organizational measures, including risk assessment, access controls, recovery after incidents, and testing. | Runtime masking and policy enforcement across prompts, MCP calls, APIs, RAG, agent context, logs and more. |
| ErasurePDPL Art. 15 Executive Regulations Art. 18 | Delete data when its purpose ends, and answer erasure requests within 45 days. | Purges token mappings held in Protecto Vault. |
| Records and breachPDPL Arts. 17 and 19 Executive Regulations Arts. 27 to 33 | Keep records of processing. Document every breach. Notify MTCIT within 72 hours when data subject rights are threatened. | Audit logs of detection and unmasking decisions feed your records and help you scope an incident. |
Keep it. DLP still covers email, files, and endpoints. It was not built for AI traffic, where sensitive data moves as ordinary sentences inside API calls, often in Arabic or mixed with English. Protecto covers that path.
Basic redaction can, because a blank placeholder tells the model nothing. Protecto uses consistent, format-preserving tokens, so the same person maps to the same token and the model can still tell who is who. Test it on your own data before relying on any figure.
Protecto detects 50+ entity types out of the box and supports custom entities, so you can add identifiers specific to Oman, such as the civil number.
Protecto detects 50+ entity types out of the box, covering personal data (PII), health data (PHI), and payment card data (PCI). If your data includes identifiers that are not covered by default, such as the Omani civil number, you can add custom entities. Detection works in Arabic, English, French, German, Spanish, Dutch, and Japanese, with more languages on request.
Not as a general rule. Article 23 restricts transfers outside Oman instead. Under the Executive Regulations, a transfer needs the data subject’s express consent unless the data is anonymized, the recipient must give adequate protection, and you must assess the transfer. Confirm your position with counsel.
It can. Since Royal Decree 68/2026 took effect on 7 September 2026, the law covers processing of personal data of individuals in Oman whether the processing happens inside or outside the country.
Tokenization is pseudonymization. Whoever holds the token mapping can reverse it, so treat the data inside your environment as personal data. What changes is what the model provider receives: tokens, not readable personal data. Whether that counts as anonymized under Omani law is a question for your counsel.
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