prompt-injection-detect

To detect prompt injection attacks, you provide a text sample for analysis to identify malicious patterns. The system applies pattern matching, multilingual checks, and encoding decoding to return detected injection patterns with a risk assessment.

Yes, indirect prompt injection detection from external sources including web pages and documents is supported. It analyzes these data inputs to identify hidden malicious instructions and provides actionable defense recommendations.

Prompt injection detection works with multilingual coverage and encoding-based pattern recognition. This identifies obfuscated prompts by decoding encoded text, ensuring threats across different languages and formats are caught.

You assess risk levels using the integrated risk scoring feature. After analyzing text samples, the system generates a quantitative risk score alongside actionable defense recommendations to secure operator workflows.

The best way to defend against direct prompt injection in multi-turn conversations is applying real-time detection to each turn. This analyzes ongoing user inputs to identify and score injection patterns immediately.

You should use automated injection detection when processing high volumes of single-turn prompts, multi-turn conversations, or external data inputs. Manual review cannot efficiently decode encoded patterns or perform multilingual checks at scale.