Large language models, or llms, are being protected through various security measures, including securing data pipelines and implementing best practices. The security of these models is a concern due to potential risks, with some reports suggesting that a small number of documents can compromise an ai model. Enterprises and organizations are working to address these risks through governance, architecture, and the development of security layers for ai applications.