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Shadow AI Lifecycle Management: From Discovery To Control

Shadow AI lifecycle management is a structured way to handle unapproved AI tools through five connected stages. Organizations first discover which tools are in…

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Shadow AI lifecycle management is a structured way to handle unapproved AI tools through five connected stages. Organizations first discover which tools are in use, then assess each one's risk and set policy to govern them. Ongoing monitoring tracks how usage changes over time. Enforcement controls then prevent sensitive data from reaching tools... Weiterlesen: Shadow AI Lifecycle Management: From Discovery To Control

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