Threats & Failure Modes
Data leakage (AI)
AI data leakage is confidential information leaving an organization through prompts, uploads, or AI outputs — client names in a chatbot, source code in a coding assistant, a customer file in an AI answer engine.
In the AI context, data leakage is sensitive information crossing the organizational boundary through an AI interaction: pasted into a prompt, attached as a file, transcribed from a meeting, or embedded in code context an assistant reads. Once submitted, the data is governed by the provider's terms — retention, human review, sometimes model training.
Prompt-box leakage is invisible to traditional DLP, which watches email, endpoints, and file shares rather than what's typed into a chatbot. Prompt-level detection and redaction close that gap: the sensitive fields are stripped before submission, and the event is logged.
Where this shows up
Related terms
See it in your own organization.
Sanitized AI inventories the AI tools in use and redacts sensitive data from prompts before it leaves.