ChatGPT DLP: What Enterprises Need to Know
Varonis, Monday, July 28th, 2025
From brainstorming product copy to drafting email copy, ChatGPT and other generative AI tools have rapidly become embedded in the day-to-day workflows of enterprise teams. This new productivity, however, comes with a new category of risk: the unintentional exposure of sensitive data.
Unlike traditional software, large language models (LLMs) operate in a gray area where human input and AI output are difficult to govern. Employees might paste proprietary code, confidential contracts or customer data into a chatbot without realizing the potential consequences.
In regulated industries, the stakes are even higher.
With that, a new kind of data loss prevention (DLP) strategy comes in: one tailored to the realities of AI. In this article, we'll break down how ChatGPT changes the data security equation and show you how to build a DLP program that protects your information without stifling innovation.