Splunk's Evaluation Engine turns agent traces into custom guardrails, 14x faster than LLM judges

ptkbhv · x · 2026-11-13

Splunk Agent Observability launched the Evaluation Engine: an evaluation tuner converts your agent traces and expert feedback into specialized small models for evals and runtime guardrails that enforce your own policies instead of a general LLM's "average" standards.

Key numbers

In-house Eval-G1 models match the most accurate frontier LLM judges on PII and toxicity, catching 99.4% of leaked personal data — more than any model tested.
Each verdict takes 1/3 second, up to 14x faster than frontier LLM judges, at a fraction of the cost.
No data science team needed; build an evaluator in an afternoon once you have trustworthy examples.

Available now for Agent Observability customers in US regions.

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Splunk's Evaluation Engine turns agent traces into custom guardrails, 14x faster than LLM judges

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