How do you design risk scoring systems for LLM outputs?

Risk scoring assigns a safety or reliability score to each LLM output before it is delivered to the user.

Risk scoring systems evaluate outputs based on toxicity, factual consistency, PII leakage, jailbreak likelihood, and policy violations. These scores are computed using classifiers or secondary LLM judges. Outputs exceeding risk thresholds are blocked, rewritten, or routed to safer models.