An AI governance platform is software that helps an organization enforce rules, oversight, and compliance across AI systems. It can track model inventory, approved use cases, data sources, access rights, human review steps, and audit logs. In practice, it acts like a control layer for AI, making sure models are deployed and used within policy.
This matters because AI can process sensitive data, influence decisions, and act through automated workflows. Without governance, teams may deploy unapproved models, expose regulated data, or lose visibility into how outputs are produced. Security teams use governance platforms to apply least privilege, validate data provenance, monitor model drift, and keep evidence for audits. Attackers may try to bypass these controls by swapping models, poisoning inputs, or abusing overly broad permissions, so governance is a key defense surface as well as an administrative one.