Protect sensitive credentials, datasets, and proprietary code.
Data privacy is a critical factor when using public AI tools. Entering confidential corporate records, personal customer details, or proprietary source code into free, consumer-facing chats can risk data exposure, as many platforms use inputs to train public models.
Maintaining data privacy is vital in modern digital workflows. While enterprise-tier accounts (such as ChatGPT Enterprise, Team plans, or API deployments) typically guarantee data security and isolation, free consumer tiers often use conversation inputs for model training. Always audit your tool settings and avoid sharing confidential information.
Before uploading a spreadsheet to analyze, replace customer names and identifiers with anonymous placeholders to protect privacy.
Navigate to your ChatGPT or Claude account settings to manually toggle off 'Share data for model training'.
On most free consumer plans, yes—inputs can be used to train future models. You can opt out in your account privacy settings, and enterprise or API plans typically do not train on user inputs.