Dual insurance mechanism for data security
Supametas.AI offers both cloud services and localization to address privacy concerns:
- cloud protection: TLS 1.3 encryption for transmission, AES-256 algorithm for storage, and optional deletion of source files immediately after processing is complete
- Private deployment: Runs on company intranet via Docker containers, all data does not go out of local servers, suitable for financial/medical industry
- privilege control:: Support for setting field-level access permissions (e.g., allow export of only a portion of the desensitized data)
Suggested procedure: 1) Enable "Automatically clean up original files" in the account settings 2) Check the option of "Privatize only" for sensitive data 3) Use field masks (e.g. replace ID number with [PROTECTED]) when exporting. For EU users, the system complies with the anonymization standard of GDPR by default.
This answer comes from the articleSupametas.AI: Extracting Unstructured Data into LLM Highly Available DataThe
May not be reproduced without permission:AI productivity tools " How to avoid the risk of privacy breaches when processing large data volumes?
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