Security News > 2023 > July > Combatting data governance risks of public generative AI tools
When companies utilize public generative AI tools, the models are refined on input data provided by the company.
While publicly available generative AI tools permit natural language querying, world wide web data is not always applicable to the use case.
Knowledge management solutions connect data from various data sources and business applications to consolidate the data into a central knowledge base.
Data hallucination is one of the most common and harmful risks encountered with public generative AI that integration addresses.
Data hallucination occurs when generative AI causes the model to produce false answers.
While public generative AI platforms present an overwhelming risk to businesses, integrating LLMs with secure platforms of existing enterprise data realizes the mutual dream of both CISOs and end-users: a secure, trustworthy way to use models that does not risk exposure through public platforms.