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Auditsa
Maximum privacy standards

Your data never leaves your premises without your consent — and only after anonymization.

Privacy by design. Mandatory, automatic anonymization before any external transmission or cloud integration.

Smart Anonymization

We convert names, account numbers, and sensitive information into encrypted tokens before they reach any AI algorithm.

  • Replacing names with random tokens (Ahmed → User_829).
  • Encrypting IBAN numbers locally only.

Local Mapping Only

The decryption key linking tokens to real data always resides inside your own server and is never stored in our cloud.

Local server: connected

Explicit consent gateway

Full control over every piece of data. No information is sent to a third party without documented electronic approval from the system administrator.

Integrated AI mode

Offline processing (Edge AI)

Our system supports fully air-gapped environments where AI models run locally on your devices without any external calls to the internet.

Technical security specifications

Encryption
AES-256

Military-grade encryption standards

Compliance
SDA / NDMO

Aligned with the National Data Management Office

Error rate
0.0001%

In detecting sensitive data

Servers
Inside the Kingdom

Local servers in Saudi Arabia

Questions about privacy and security

Does our financial data leave the local server?

It only leaves with explicit, documented authorization, and after mandatory anonymization. The decryption key linking tokens to real data always stays inside your server and is never stored in our cloud.

Can the system run without the internet?

Yes. We support fully air-gapped environments by running AI models locally (Edge AI) without any external connection.

How is anonymization performed?

We replace names, account numbers, and IBANs with locally encrypted tokens before any processing (for example, "Ahmed" becomes User_829), so no real data ever reaches an external algorithm.

Privacy built to the Kingdom's standards

Discover how Auditsa protects your sensitive financial data.