This white paper explains the security considerations organizations must understand when using generative AI and large language models. While model hallucinations are a well-known risk, they are not the only concern. Different LLMs handle data in different ways, and their security policies may or may not align with a company’s internal requirements. Some models may retain, reuse, or expose user data, while others are designed to keep data fully protected. The paper breaks down the varying security levels available across LLM services and emphasizes the importance of selecting models carefully, educating employees, and ensuring safe use to protect sensitive and proprietary information.

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