TechRadar A new analysis reveals that most organizations still rely on traditional security models that leave artificial intelligence workloads exposed at the moment they run. While data at rest and in transit enjoys encryption and access controls, the critical phase when AI models process information in memory—known as runtime—remains largely unprotected. The report highlights three vulnerable stages: training, inference and especially runtime, and urges companies to adopt hardware‑based isolation and confidential computing to safeguard model weights and real‑time data.
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