Executive Summary
- Pasting corporate data into the public version of ChatGPT is equivalent to uploading your data to a public search engine.
- Enterprise deployments rely on Zero Data Retention (ZDR) agreements with providers like Microsoft Azure or AWS.
- Row-Level Security (RLS) ensures that the CEO's chatbot can read financial documents, but the intern's chatbot cannot.
Three-quarters of enterprise companies have hard-blocked public generative AI apps on their corporate networks.
1. The API Architecture Moat
Do not use web interfaces. By exclusively accessing LLMs through corporate APIs governed by Enterprise SLAs (Service Level Agreements), foundation models are contractually prohibited from using your data to train their future systems.
Risk Profile by Deployment Method
VPC Endpoints
2. Prompt Injection Mitigations
If setting up a customer-facing agent, malicious actors will attempt 'Prompt Injection'—trying to trick your bot into offering free discounts or leaking internal prompts. Robust pipelines use a secondary LLM acting solely as a firewall to analyze inputs before processing.
The Board Mandate
Security can no longer be an excuse for inaction. The enterprise architecture exists today to deploy AI safely; executives just need the blueprint.