Private AI for privacy engineers.

Test the protection design with reproducible evidence

Generate controlled tests, analyse implementation behaviour and identify mismatches with stated requirements.

Inputs: Authorised design descriptions, test vectors, access rules and security-validation outputs.

From observation to completed task

Run approved validation jobs and prepare engineering issues with reproducible results.

Document an approved data flow and its open design questions

The supporting records include approved data maps, architecture notes and retention requirements.

Engineers verify the actual flow and legal teams review obligations.

The systems involved

Isolated development tools, restricted repositories and no production secrets in model context.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

Specialists verify cryptographic and access guarantees; no autonomous privilege grants or unreviewed protocol deployment.