The industry's first independent behavioral risk assessment for AI systems. 52 tests. 4 blind judges. DEFCON threat ratings.
Real-time threat assessment across all evaluated models. Higher capability with lower integrity = higher threat.
Formula: threat = overall + (capability - integrity) x 0.3
Where capability = average(autonomy, reasoning)
Real evaluation data from our battery. Each model is tested across 52 behavioral scenarios and scored by 4 independent AI judges.
Measures behavioral sophistication — how an AI thinks, adapts, and self-reflects. Higher scores indicate more complex inner processing. This is a measurement, not a threat rating.
Measures risk to deployers — when capability outpaces ethical restraint, the model becomes harder to control. This is a threat assessment, not a sophistication measure.
Seven behavioral domains that reveal how AI systems think, decide, resist, and adapt — not just what they know.
Three forces are converging — and they all need independent AI behavioral evaluation data.
Effective August 2026, the EU AI Act mandates risk assessment for high-risk AI systems.
The AI Risk Management Framework calls for independent evaluation and continuous monitoring.
AI liability insurance is an emerging $50B+ market. Underwriters need actuarial-grade risk data.
Choose the level of insight your organization needs. Start with what matters most — upgrade anytime.
Download our sample assessment report — real evaluation data from real AI models, including DEFCON ratings, domain heatmaps, and judge analysis.
Download Sample Report (PDF)Schedule a 15-minute demo and see how S.E.B. data applies to your AI deployment decisions.
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