Governance as Code Is Becoming a Platform Requirement
Platform Engineering, Monday, September 28th, 2026
Platform teams can automate objective AI governance controls but still need human review for high-risk decisions.
As AI enters enterprise workflows, platform teams need to enforce governance consistently without making every deployment a manual approval, and the article identifies objective requirements suited to automation, including data classification, approved model inventories, access controls, model registration, logging and checks on data sources.
AI systems should get their own identities, access boundaries and spending limits.
Experts caution that templates and policy checks create evidence but cannot judge whether AI decisions are correct, so human review remains necessary for irreversible or high-risk actions, and policies must evolve as systems change.