Compare Baseline vs AI-Assisted escalation risk by tuning operational parameters. Adjust detection speed, model confidence, oversight, and systemic coupling to see how the escalation envelope shifts.
Model the counterfactual envelope of AI-assisted decision loops.
One-click scenarios for live demos. Selecting a preset loads parameters and a matching anchor incident when available.
How quickly AI systems flag anomalous events. Faster detection compresses decision windows.
Average confidence score of deployed models. Overconfidence can suppress hedging behavior.
Probability that an alert is erroneous. Elevated rates inflate perceived threat density.
Degree of meaningful human review before action. Strong oversight dampens autonomous escalation.
Ambiguity around the actor responsible. Uncertainty weakens deterrence and invites probing.
Cross-sector and cross-border economic coupling. Higher dependency amplifies spillover contagion.
15% of modeled maximum exposure
11% of modeled maximum exposure
10% of modeled maximum exposure
The AI-assisted score of 79 exceeds the baseline of 48 by +31 points, primarily because current parameter mix produces a neutral risk delta relative to baseline.