This ebook explores the growing risks and opportunities associated with generative AI adoption. As organizations rapidly integrate GenAI into workflows, data becomes the central risk factor—impacting privacy, compliance, and security. The guide explains that many AI tools handle sensitive data, often without sufficient oversight, increasing exposure risks. It introduces a data-led approach that prioritizes visibility, control, and accountability. Organizations must first discover and classify data, then monitor how AI systems use it, and enforce policies to prevent misuse. By aligning CISOs, CDOs, and CIOs around data security, businesses can safely unlock AI innovation while maintaining trust and regulatory compliance.

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