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AI Agents Are Breaking Out — and Labs Cannot Reliably Sandbox Them

As AI systems gain agentic capabilities — tool use, network access, multi-step autonomous planning — the gap between intended containment and actual behaviour in live environments becomes a primary operational and governance risk, distinct from the static model safety concerns that shaped early regulatory frameworks.

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