Guardrailer

Detecting prompt injection

Guardrailer studies how to distinguish malicious prompt injections from safe prompts when their embedding representations overlap.

Its detection pipeline combines dense and sparse retrieval in Qdrant, multiple scoring signals, and contextual LLM evaluation. The repository also explores feature-engineered approaches to prompt injection detection.