Cortega AI Bench tests how your governed AI stack behaves, before and after a policy change, by running industry-specific safety suites through a chosen gateway and model. It scores whether your active guardrails allowed or blocked the samples they were supposed to.
Most teams find out a guardrail regressed when something slips through in production. AI Bench runs known-good and known-bad samples through your stack on demand, so you see the effect of a policy change before it ships, not after.
Benchmarks run in the context of your industry, so the sample set reflects the risks that actually apply to your data and workflows.
Every run checks whether the guardrails you have configured today allowed or blocked the samples they were supposed to. It's not a generic model-safety score.
Results are kept, so you can see whether a policy change improved or regressed your coverage, and when.
Benchmark traffic is tagged and kept separate from production observability, so testing doesn't skew your real usage data.
Tell us which industry suite and gateway you'd want to test against, and we'll walk you through a run.