Private AI, explained
For professionals who cannot put client, patient, or confidential information into public AI. How the risk actually works, and what to do instead.
A plain-English look at how public AI tools handle your data, when your inputs can train future models, and what confidentiality actually means for professionals.
How attorneys can use AI for drafting and research without risking privilege or violating the duty of confidentiality. What to avoid, and what to require.
What HIPAA requires before protected health information touches an AI tool, why most consumer AI fails that test, and what a compliant setup looks like.
When AI providers use your conversations to train models, why opt-out toggles are weaker than they look, and how to keep sensitive inputs out entirely.
Client financial data carries real confidentiality and regulatory weight. How accountants can use AI for the heavy lifting without exposing that data.
Not all AI is built for confidential work. What to look for in a private AI tool when your inputs cannot be allowed to leak, train a model, or leave your control.