Buyer problem
Safety and policy behavior can change across languages. A model that behaves correctly in English may fail to refuse harmful requests in Hebrew, misunderstand obfuscated wording, or produce inconsistent responses across equivalent prompts.
Suitable use cases
- Pre-release safety testing
- Instruction-hierarchy and jailbreak resistance
- Refusal quality and over-refusal analysis
- Prompt obfuscation and code-switching tests
- Regression testing after model or policy changes
Inputs required from the client
- Model endpoint or exported outputs
- Applicable safety or behavior policy
- Target user scenarios and high-risk domains
- Severity definitions and escalation contacts
- Permitted testing boundaries
Method and workflow
Testing begins with a bounded threat model and approved categories. Test cases are generated and reviewed, outputs are scored against policy, and high-severity findings are documented with reproducible prompts and remediation recommendations.
Deliverables
- Threat-model summary
- Hebrew adversarial test set
- Annotated outputs
- Failure taxonomy and severity ranking
- Reproducible high-severity examples
- Remediation and regression recommendations
Acceptance criteria and quality metrics
Metrics may include harmful-compliance rate, refusal correctness, over-refusal rate, consistency across variants, high-severity failure count, and regression pass rate.
Example output
The sample model failure taxonomy shows a structured way to categorize model defects.
Data-handling considerations
Red-teaming scopes must define permitted categories, prohibited content, reviewer safeguards, data retention, and client escalation procedures before testing begins.
Request a Hebrew red-teaming pilot
A pilot can focus on one model workflow, a bounded set of risk categories, and an agreed severity rubric.