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Professional secrecy in AI practice has become a design question
CCBE and CNIL/CIANum make clear that professional secrecy in AI is a matter of architecture, contracts and traceable workflows, not of cautious prompts.
Professionals with a duty of confidentiality do not need cautious prompts but a verifiable process. This hub collects the articles on what safe AI use in a confidential practice actually requires: which step verifies the output, who may see which file, and what remains demonstrable afterwards.
The starting point is the pillar article below. The remaining articles work out the separate questions: professional secrecy as a design question, controlled access to confidential documents, and the verification layer between model output and professional advice.
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CCBE and CNIL/CIANum make clear that professional secrecy in AI is a matter of architecture, contracts and traceable workflows, not of cautious prompts.