Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. Palo Alto, California-based Skyflow, a company that makes it easier for developers to embed data privacy into their applications, today announced the launch of a “privacy vault” for large language models.The solution, as the name suggests, provides enterprises with a layer of data privacy and security throughout the entire lifecycle of their LLMs, beginning with data collection and continuing through model training and deployment.It comes as enterprises across sectors continue to race to embed LLMs, like the GPT series of models, into their workflows to simplify processes and boost productivity. Why a privacy vault for GPT models?LLMs are all the rage today, helping with things like text generation, image generation and summarization. However, most of the models that are out there have been trained on publicly available data. This makes them suitable for broader public use, but not so much for the enterprise side of things.

Privitar Ltd. has recently released MDP 1.1, the latest version of its data security platform.

Privitar Ltd. recently partnered with leading analyst firm Bloor Research to uncover the most pressing challenges facing data leaders today.