For teams changing a safety guard.
This work fits engineering teams changing a model, prompt, threshold, or provider that classifies content. The core question is concrete: does the candidate meet the chosen policy on the evaluated examples, and where does it behave differently from the baseline?
Measure the tradeoff, including the inconvenient cases.
A guard can catch more unsafe inputs while blocking more legitimate ones. GuardMeter reports recall, false-positive rate, precision, F1, and latency, with views by category, language, and attack type. Confidence intervals and paired comparisons help put observed differences in context.
- Agree on labels, policy, and representative test cases
- Compare baseline and candidate predictions
- Inspect failed examples and affected slices
- Document coverage limits and unresolved questions
Turn a policy into a repeatable check.
Thresholds belong in a versioned configuration that a team can review. GuardMeter can check global and slice-level thresholds and produce a pass or fail result in CI, alongside a report for the people making the release decision.
- A reviewable gate configuration
- An HTML evaluation report and summary
- Machine-readable results for build pipelines
- A reproducible record of the evaluated run
Inspect the evidence before choosing a service.
The GuardMeter offer includes a downloadable sample report and evidence pack. The sample intentionally exposes a failed gate and the checks behind it. A pass applies to the evaluated dataset and policy; it does not establish universal safety or regulatory certification.
Choose a focused Tune-Up or a broader integration.
The GuardMeter page describes the fixed-scope Tune-Up, its pricing, and the deliverables. If the evaluation needs to become part of a larger product or delivery pipeline, describe the existing system and the decision the checks need to support.