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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.
Enterprises should redesign AI governance so risk tiering, model auditing, and AI incident response produce auditable proof of control, not shifting compliance theater.
IMDA’s agentic AI framework doesn’t just ask teams to document—it forces engineering proof for go-live. This editorial shows how to operationalize that “deployment gate” and what “paper compliance” breaks.