What is AI data leakage prevention?
AI data leakage prevention protects sensitive data from being pasted, uploaded or transferred into generative AI tools without approval.
Generative AI tools create a new data leakage path: employees can paste or upload contracts, source code, customer data, legal files and financial records into tools the organization does not control. TRIAS DLP helps detect and prevent sensitive data exposure through browser, endpoint and cloud channels.
Detect sensitive files and text before they are uploaded to unapproved AI services.
Monitor risky browser and endpoint activity connected to unsanctioned AI use.
Create enforceable technical controls for enterprise AI usage policies.
Employees may use ChatGPT or other AI tools to summarize contracts, translate documents, analyze spreadsheets or debug source code. Without DLP, sensitive content can leave approved systems and enter third-party AI services.
TRIAS DLP helps organizations identify sensitive content and enforce policies on risky channels such as browser upload, clipboard, file copy and endpoint activity. This turns AI governance from policy text into technical enforcement.
AI data leakage prevention is the process of detecting and blocking sensitive information before employees paste, upload or transfer it into generative AI tools such as ChatGPT or other unapproved AI applications.
| Requirement | TRIAS DLP support |
|---|---|
| Prompt leakage | Detect sensitive text and block risky copy/paste or upload flows. |
| File upload to AI tools | Apply browser and endpoint DLP policies to unapproved destinations. |
| Shadow AI usage | Monitor activity patterns and generate investigation evidence. |
| AI governance | Translate acceptable-use policies into enforceable technical controls. |
AI data leakage prevention protects sensitive data from being pasted, uploaded or transferred into generative AI tools without approval.
TRIAS can help detect sensitive data and enforce policies around browser uploads, endpoint actions and unapproved AI usage paths.
Shadow AI is the use of AI tools by employees without formal approval, governance or security oversight.
DLP provides the technical controls, monitoring and evidence needed to enforce AI acceptable-use policies.
Review how TRIAS DLP can protect legal, financial, personal and source-code data from AI leakage paths.
Assess AI leakage risk