ChatGPT privacy for companies

ChatGPT privacy starts before the prompt, not only in the contract. DLPShield detects sensitive content in the browser and controls whether employees may send, mask, warn or block.

Answer first: how can a company use ChatGPT responsibly?

A company uses ChatGPT responsibly when tool approval, contractual review, data classification, employee training and technical controls work together. Browser DLP is the control directly before input and upload.

Why bans alone fail

Employees use AI because it helps them write, summarise, translate and analyse faster. A blanket ban often creates shadow AI. A controlled framework works better: approved tools, clear data classes and browser guardrails.

High-risk data in ChatGPT

Governance model

ControlWhy it mattersDLPShield role
Tool approvalNot every AI tool has the same contract and security posture.Policies can differ by domain and risk.
Data classesEmployees need clear limits for customer, HR, health and secret data.Sensitive patterns are detected before prompt and upload.
TrainingRules must be understandable in daily work.Warnings make risk visible at the moment of use.
AccountabilityPrivacy and security teams need evidence of controls.Audit mode shows risky workflows before strict blocking.

Can employees enter customer data into ChatGPT?

Only if legal basis, contract, internal approval and safeguards fit. Without clear approval, customer data should be detected and blocked or masked.

Which data should not go into ChatGPT?

Without approval, customer data, HR data, health data, client data, credentials, API keys, confidential contracts and unreleased source code should not be entered.