It had been the same for 14 months. No one noticed until the audit flagged it as a critical vulnerability. The AI system it protected was feeding sensitive predictions to half the company, and now it was exposed.
AI governance is more than policies and paperwork. It lives or dies in the details, and password rotation policies are some of the smallest details with the highest impact. When credentials guard decision-making models, training datasets, and operational APIs, a single compromise can break compliance, dismantle trust, and trigger cascading failures in automated pipelines.
A strong AI governance framework treats password rotation as a first-class control. That means enforcing rotation periods based on sensitivity and risk, not convenience. For privileged accounts powering AI inference or model training, rotation should be mandatory every 30-60 days. Automated enforcement ensures there’s no wiggle room. This is non-negotiable in regulated environments like finance, healthcare, or government AI systems.
Seed every new rotation with unique, randomly generated credentials—never reuse. Remove old credentials on schedule, not on discovery. Credentials must be traceable in audit logs, paired with precise metadata: who created them, when, and for what function. Cryptographic storage in a secure vault makes brute force or offline cracking almost impossible. This is governance you can prove, not guess.