Enterprise AI governance is advancing faster than the operational controls needed to support it. Organizations are defining principles, policies, risk tiers, review boards, lifecycle gates and accountability models for AI. These efforts establish what should be allowed, required or prohibited. They do not always determine how those requirements will be enforced once AI is embedded in...
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Topics: Cybersecurity, Observability, Intelligent Automation, IT & Technologies, ADM & DevOps, Cloud Infrastructure, IT Management & Operations, AI Governance, Control Layer, Operational Control
