AI Security

ChatGPT Data Loss Prevention (DLP)

Secure employee interactions with OpenAI's ChatGPT. Intercept sensitive prompts, source code, and credentials before they are sent to external OpenAI servers.

OpenAI's ChatGPT is the most widely adopted generative AI assistant in the enterprise. However, without proper guardrails, employees routinely submit sensitive source code, customer support transcripts, financial projections, and raw database queries to ChatGPT, inadvertently exposing corporate IP.

Implementing dedicated ChatGPT DLP is essential for maintaining control over your organization's data perimeter. Security teams utilize these systems to prevent ChatGPT data leakage by introducing real-time AI prompt monitoring directly on client endpoints.

The ChatGPT Data Risk Vector

When employees use ChatGPT, their inputs may be processed and stored by OpenAI. While enterprise tiers offer data opt-outs, the primary risk is the loss of visibility:

  • Unmanaged Accounts: Employees using free or personal Plus accounts have their data used to train future OpenAI models.
  • Accidental Clipboard Paste: A developer copying database strings or AWS access keys might paste them directly into ChatGPT to troubleshoot a bug.
  • No Native Auditing: ChatGPT does not provide security teams with live visibility or retro-active auditing logs of what employees submit.

How TryAIDR Solves ChatGPT Leakage

TryAIDR secures your organization's ChatGPT usage through immediate, client-side intervention:

  • Clipboard Hooking: Intercepts any text pasted into chatgpt.com or custom GPT wrappers.
  • Prompt Filtering: Dynamically analyzes the text input. If it contains proprietary algorithm code or customer PII, the paste is blocked or redacted, and the user is warned.
  • Access Control: Integrates with identity providers to enforce that employees only access approved enterprise instances of ChatGPT, automatically blocking personal accounts.

Sample Regex Rule for ChatGPT Prompt Inspection

TryAIDR checks prompt structures at the network and clipboard layers. Here is how we define a policy target to block database connection strings:

json
{
  "target": "chatgpt.com",
  "rules": [
    {
      "pattern": "mongodb\\+srv://[^:]+:[^@]+@[^/]+",
      "action": "block",
      "user_message": "Sensitive MongoDB credentials detected. Intercepted by TryAIDR."
    }
  ]
}

Secure Your AI Interactions Today

Prevent compliance breaches and data leaks to ChatGPT, Claude, Gemini, and custom internal AI endpoints. Get real-time endpoint level DLP visibility and protection.