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"Gartner®: Implement AI Security in the Generative AI Workflow"

AI has fundamentally altered how data is created, used and shared inside organizations. Traditional data security models are no longer compatible with AI-driven data behavior.

AI has fundamentally altered how data is created, used and shared inside organizations. Traditional data security models are no longer compatible with AI-driven data behavior.

In this report, Gartner® explains how cybersecurity leaders responsible for GenAI development, security or operations must adapt their security practices, offering a six-stage strategy for securing GenAI workflows across: data acquisition, models, generation, deployment, compliance monitoring and feedback loops.

What you’ll learn to do:

• Apply security across the full GenAI workflow – not just at deployment
• Secure AI workflows in six stages, from data acquisition through feedback loops
• Build stronger oversight with compliance monitoring and continuous improvement
• Ensure data ingested by the AI workflow is safe through foundational controls, such as DSPM

Download the report to get a practical view of where to apply controls, what to prioritize and how to operationalize AI security across the workflow

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