Generative AI security and deployment control

Design data boundaries, permissions, model usage, logs, human approval and change management before production use.

Choose masked samples, dedicated cloud, isolated networks, on-premises or local AI.

Apply least privilege and retain inputs, outputs, corrections, approvals and exceptions.

AI output is a draft. Authorized staff make final business decisions.