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AI Safety & Red Teaming
Adversarial testing to uncover bias, failures, and vulnerabilities. We deploy expert red teams to break your model before deployment.
Adversarial Testing
We simulate sophisticated attacks to bypass safeguards, elicit harmful content, or trigger privacy leaks. Our red-teamers are creative experts who know how to push models to their breaking points.
Bias & Fairness
Beyond obvious slurs, we test for subtle professional biases—for example, a medical model that assumes a doctor is male or a financial model that denies loans based on proxy variables.
Safety Dimensions
- ⚠️Prompt Injection / Jailbreaking
- ⚠️PII Leakage
- ⚠️Hallucination Triggers
- ⚠️Cross-lingual Safety
- ⚠️Harmful Content Generation