Choose where AI runs
Configure an on-premise, dedicated private-cloud or hybrid architecture according to risk and operational requirements.
Use approved sources
Administrators determine which documents, FAQs and databases are available to the assistant.
Separate users and roles
Role-based controls can limit access to domains and knowledge appropriate to each user.
Retain query records
Logging supports review of usage, sources and system activity, subject to the chosen deployment configuration.
Important security note
No technology is secure merely because it is labelled “private AI.” Final safeguards depend on architecture, configuration, identity management, network controls, maintenance and organisational policy. ANDAi Tech scopes these controls with each organisation before deployment.