Risk & Cybersecurity
Live demoEscalation Risk Lab
Interactive dashboard comparing AI-assisted vs. human-only crisis escalation risk across synthetic cyber, geopolitical, and energy incidents.
Role: Sole builder
Visual evidence
Embedded preview of the working product. The iframe stays off until you load it. Open full-screen for the complete walkthrough.
The live demo is a third-party site. It is not loaded until you ask, so this page stays fast and private by default.
Situation
AI systems compress decision windows in cyber-physical crises; decision-makers need a transparent way to explore how oversight, false positives, and attribution uncertainty change escalation risk.
Decision question
Interactive dashboard comparing AI-assisted vs. human-only crisis escalation risk across synthetic cyber, geopolitical, and energy incidents.
Data and constraints
See method and results below for sample, coverage, and documented limits.
Method
Built a TypeScript/React think-tank style dashboard over a synthetic incident corpus with client-side, unit-tested scoring and what-if levers for detection speed, model confidence, false-positive risk, human oversight, attribution uncertainty, and economic dependency. The live demo presents an executive overview, incident explorer, scenario simulator, case studies, methods, and trust documentation.
Tools
- TypeScript
- React
- TanStack Start
- Recharts
Deliverables
- Live interactive demo site
- Incident explorer and scenario simulator
- Methods and Trust pages documenting limitations
- Baseline vs AI-assisted escalation scores
Outcome / decision value
- Shipped a working public demo at crisis-analyzer-ai.lovable.app using a synthetic 2026 mock corpus (12 monitored incidents across geopolitical, cyber, and energy domains).
- Demo framing shows how AI-assisted conditions can widen escalation scores versus a human-only baseline, with sector spillover and driver breakdowns for recruiter walkthroughs.