Detection Result Explanation And Scoring Breakdown

Self-hardening prompt injection detector with multi-layer defense.

Unique: Provides per-tactic score breakdown and matched pattern details, enabling developers to understand which detection layers triggered and why; LLM-based detector includes semantic reasoning for transparency

vs others: More transparent than black-box detection systems; detailed explanations enable faster tuning of detection rules and easier debugging of false positives

via “confidence scoring and explainability”

via “confidence scoring and explainability output for detection results”

Unique: unknown — insufficient documentation on scoring methodology, whether scores are calibrated against ground truth, or how multiple detection signals are weighted and aggregated.

vs others: Simpler confidence output than academic AI detection research (which often includes multiple metrics and uncertainty bounds), but more accessible to non-technical users than tools requiring interpretation of raw model logits.

via “detailed detection report generation”