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IMDA’s Model AI Governance Framework for Agentic AI reframes governance as deployment controls and audit evidence—pushing pilots to prove operational restraint, not just write documentation.
Enterprises should redesign AI governance so risk tiering, model auditing, and AI incident response produce auditable proof of control, not shifting compliance theater.
High-risk AI compliance starts to bite in 2026. The winning strategy is engineering an audit-ready evidence pipeline: training documentation → runtime logs → traceable audits.