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Generative AI has rapidly become core infrastructure, embedded across enterprise software, cloud platforms, and internal workflows. But that shift is also forcing a structural rethink of cybersecurity. The same systems driving productivity and growth are emerging as points of vulnerability. Google Cloud’s latest AI Threat Tracker report suggests the tech industry has entered a new phase of cyber risk, one in which AI systems themselves are high-value targets. Researchers from Google DeepMind and the Google Threat Intelligence Group have identified a steady rise in model extraction, or “distillation,” attacks, in which actors repeatedly prompt generative AI systems in an attempt to copy their proprietary capabilities.