This whitepaper focuses on securing generative AI applications built on Amazon Bedrock, emphasizing that data security is foundational to safe AI adoption. It outlines key risks such as sensitive data leakage, prompt injection, and training data poisoning, particularly in architectures like retrieval-augmented generation (RAG) and AI agents. The paper stresses that unauthorized data must never reach AI models, highlighting the importance of strict access controls and governance. Cyera addresses these challenges through automated discovery and classification of sensitive data across cloud environments, enabling organizations to monitor AI data flows, secure training datasets, and enforce policies that prevent exposure while supporting scalable AI innovation.

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