<ul><li>Over half of firms adopted AI in 2024, but concerns are rising over data security and privacy risks associated with cloud tools like Azure OpenAI.</li><li>Enterprises are increasingly leveraging cloud-based platforms such as Azure OpenAI, AWS Bedrock, and Google Bard for AI applications, leading to productivity gains but also exposing them to new risks in terms of data security and privacy.</li><li>The use of generative AI platforms like Retrieval-Augmented Generation (RAG) introduces risks related to data exposure, misconfigurations, and overexposure, especially when access controls are not properly managed.</li><li>To mitigate these risks, companies need to enforce strict role-based access controls, secure training data, monitor AI models for unauthorized access, and implement proactive AI data governance practices to ensure privacy, compliance, and trust in AI innovations.</li></ul>

AI in the Cloud: The Rising Tide of Security and Privacy Risks

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