Your AI Governance Policy Should Survive Your Next Model Change

When organizations switch to a new AI model or provider, security controls like access rules, data protection, and logging may break or change even though the business use stays the same, because these controls often depend on settings specific to the current model platform. The article argues that AI governance policies need to be designed to survive model changes, since organizations will keep switching models and providers over time. A straightforward technical review of performance and cost improvements can miss this governance risk.