Intelligent Response Routing Based On Confidence

via “confidence scoring for risk-based request routing and quarantine decisions”

Meta's prompt injection and jailbreak detection classifier.

Unique: Outputs calibrated confidence scores enabling risk-based routing and human-in-the-loop review for borderline cases, rather than hard binary decisions. Allows applications to implement adaptive security policies that balance false positive costs with detection coverage.

vs others: More nuanced than binary classifiers because it provides confidence information for decision-making, and more practical than always-blocking approaches because it enables quarantine workflows that reduce false positive impact on legitimate users.