How do you build AI without exposing private business data?

Folium Systems can build AI without exposing private data by designing source registers, permission maps, redaction paths, review gates, and local, private, or hybrid runtime routes before the workflow goes live. Privacy depends on the full operating boundary: source access, runtime placement, redaction, logging, human approval, and recovery.

Practical controls

• Separate Public content from private operating data.
• Map who can see, retrieve, approve, export, or act on each source.
• Use redaction, tokenization, and source-to-record lineage where needed.
• Choose cloud API, private endpoint, local model, or hybrid routing by risk.
• Keep humans in the approval path for sensitive outputs and actions.