This research introduces Single Pass Detection (SPD), an efficient method to identify jailbreaking attempts in LLMs before they generate harmful content.

• Detects harmful inputs in just one forward pass without auxiliary models
• Analyzes logit information to predict if output will be harmful
• Significantly reduces computational overhead compared to existing methods
• Provides a more efficient security layer for deployed LLMs

Business Impact: As LLMs become core to enterprise applications, this approach offers a lightweight security solution that can be implemented without sacrificing response time or requiring complex infrastructure.

Single-pass Detection of Jailbreaking Input in Large Language Models