Is ChatGPT secure enough for CRE deal data?

The free consumer ChatGPT app is not the right place for confidential deals; its business, enterprise, and API tiers are. Those tiers state that your data is not used to train OpenAI's models by default and add retention controls, which makes CRE use defensible. For deal data, the account tier you use matters far more than the ChatGPT brand name.

The practical rule is to match the tier to the data. Public market questions and drafting can live on the consumer app. Confidential underwriting inputs, rent rolls, LP information, and anything you would not email to a stranger belong only on a business, enterprise, or API tier with training turned off, ideally inside a system you control rather than a raw chat window. The setting on the account is the security boundary, not the logo.

Attribute the terms to OpenAI's own dated policy rather than restating them as permanent fact: OpenAI states that data submitted via the API is not used to train its models by default, and that business and enterprise data is excluded from training, with retention and zero-retention options available on qualifying tiers (OpenAI API data usage and Enterprise privacy documentation, current as of 2026). These terms are versioned and can change, so confirm the version dated to your agreement. This is architecture guidance, not legal advice.

NextAutomation removes the guesswork entirely. We can set up and bill model access under a no-train configuration, or run on your own API keys so you keep full data ownership, then wrap it in a grounded system instead of a bare chat box where anyone can paste anything. That way the security posture is a property of the architecture, not a hope that every analyst picked the right menu. Compare the providers in ChatGPT vs Claude for business and OpenAI vs Anthropic for enterprise, and see the account-level specifics in the Data, Security and Compliance FAQ.

A small brokerage handling only public listings can use a business tier and move on. A firm putting real deal data through AI should have the configuration reviewed before it becomes standard practice. A NextAutomation Operations Audit produces that compliant setup and the architecture around it. Start with the audit; not legal advice, but a defensible foundation.