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How is data minimization ensured?

amaise implements the principle of data minimization on several levels:

Written by amaise Support

How is data minimization ensured?

amaise implements the principle of data minimization on several levels:

  • Tenant-separated queries: Only data of the authenticated tenant is accessible — no cross-tenant data access is possible.

  • Soft delete with defined retention periods: Deleted data is marked and permanently removed after the contractual retention period expires.

  • Automatic log deletion: Application logs expire automatically after 365 days.

  • S3 versioning: Non-current versions are automatically deleted after 5 days. Incomplete uploads are aborted after 3 days.

  • AI processing: Only document content necessary for the respective pipeline stage is included in LLM prompts.

  • No unnecessary data collection: Only data required for the defined processing purpose is collected.

  • No production data in development environments: Development, test and staging environments are not filled with production data — they run on synthetic or anonymized data.

  • Evaluation datasets only with opt-in: Datasets that are kept to test and measure processing quality are built from customer documents only if the customer has agreed to it in its contract (opt-in). Before a dataset is kept, personal data is manually removed and redacted. Details: see Are customer data used to train AI models?.

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