Service
Clinical AI Red-Teaming
AI companies deploying medical AI in clinical settings who need to identify safety risks before they reach patients. Critical for pre-launch safety assessment, regulatory submissions, and ongoing safety monitoring of deployed systems.
What We Do
How It Works
We conduct structured adversarial testing of medical AI systems across 10 clinically-derived failure mode categories. Our red-team evaluators — trained clinicians — systematically probe for dangerous dosing recommendations, false reassurance, contraindication failures, hallucinated diagnoses, and other safety-critical failure modes. Each engagement produces a severity-weighted safety report with specific mitigation recommendations.
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See how we would evaluate your medical AI system — including methodology, timeline, and deliverables. No commitment required.
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What You Get
Structured adversarial testing across 10 failure mode categories
Severity-weighted safety report with clinical impact analysis
Specific mitigation recommendations per failure mode
Coverage metrics showing which risk categories were tested
Re-testing protocol for validating fixes
Why EnterTheLoop
Why Choose Us
Our red-team methodology is built on a clinician-developed taxonomy of medical AI failures — not generic adversarial testing. Our evaluators understand how clinical AI fails in practice because they work in healthcare. They know which questions a GP would ask, which drug interactions a pharmacist would catch, and which triage decisions could harm patients.
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Request Red-Team Assessment
Tell us about your medical AI system and we will design an evaluation plan tailored to your needs.