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• AI governance is fundamentally a data governance challenge. By combining lineage, audit logs, inference traces, data quality monitoring, and classification in the lakehouse, organizations can securely govern AI systems while improving observability, compliance, and trust. • Unity Catalog and Unity AI Gateway provide a unified governance layer for AI agents, models, MCP servers, and data — enforcing identity-aware access, runtime policies, guardrails, and full auditability across every agent interaction. • Open standards and interoperable governance allow enterprises to govern any model, framework, or agent platform consistently. Unity Catalog and Unity AI Gateway centralize policies, observability, and cost intelligence across Databricks and third-party AI ecosystems