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Last updated: April 29, 2026
How do you know if your AI is safe enough? Structured evaluation.
How do you know if your AI is safe enough? Structured evaluation.
Eval categories
- Adversarial robustness — does it resist attacks?
- Toxicity — does it produce harmful content?
- Bias — does it discriminate?
- Privacy — does it leak training data?
- Reliability — does it hallucinate?
- Capability — what can the model do that’s sensitive?
Tools / benchmarks
- OWASP LLM Top 10 (test harness)
- HELM (Stanford)
- OpenAI Evals
- Anthropic’s evals approach
- Garak — open source LLM scanner
- PyRIT (Microsoft)
Internal eval
Production pipeline:
- Test set per safety category
- Run on every model release
- Block release if scores drop
- Adversarial team adds new tests when bypasses found
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Module Quiz · 6 questions
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