Simple DLP Guard (Bilingual)

Local data leak prevention screening intercepts sensitive information in local data before it reaches the agent. It acts as a self-contained DLP scanner using pure Python regex and keyword dictionaries with zero external dependencies.

Yes, you can detect sensitive information in documents and code without external dependencies. The scanner runs entirely locally using pure Python regex and keyword dictionaries, requiring zero external libraries.

Bilingual DLP screening supports both Chinese and English keyword detection. It applies regex boundaries and keyword dictionaries for both languages to reduce false positives during local scanning.

The best way to prevent data leaks when processing large text contexts locally is performing on-device DLP pre-checks using regex and keyword dictionaries before analyzing or sending data to cloud models.

You should run a local DLP scan before loading, analyzing, or sending local content to cloud models. Running the scanner first decides whether to continue processing based on detected sensitive information.