Many large enterprises are banning the use of AI-based large language models (LLMs) like ChatGPT due to the risk of data leakage and compliance concerns.
Companies are worried about the direct leaking of internal data, concerns about how LLMs store, process, and leverage data inputs, and the lack of logging of how LLMs process regulated data.
Enforcing a ban on LLMs is challenging, as employees may still find ways to use these tools despite restrictions.
Organizations that ban or restrict employee generative AI usage often do so for reasons such as direct data leakage, concerns about mimicking private internal data, and the lack of visibility in how LLMs process regulated data.
Enforcement of a ban on LLMs is difficult, as employees may not be aware of the rule or find ways to circumvent restrictions.
Implementing data loss prevention (DLP) solutions can help organizations detect and prevent data leakage by using tactics such as pattern matching, keyword matching, and restricting copying and pasting, uploads, and keyboard inputs.
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