AI assurance emerges as the operational backbone of AI governance
By James Konstantin Galvez ( May 26, 2026, 09:23 GMT | Comment) -- AI assurance is increasingly emerging as the operational layer through which governments may ultimately govern autonomous AI systems, as regulators confront the limitations of static compliance frameworks built for earlier generative AI models. Discussions at an AI summit in Singapore highlighted growing emphasis on continuous testing, operational validation and independent verification for agentic AI systems operating inside live environments. Speakers including Singapore AI Verify Foundation Executive Director Lee Wan Sie, Resaro CEO April Chin and UC Berkeley’s Dawn Song argued that governance increasingly depends on runtime controls, layered security and accredited third-party assurance systems capable of continuously evaluating deployed AI behaviour. How do you govern autonomous AI systems that are advancing faster than governments and institutions can build mechanisms to reliably govern them?...
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