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
Interactive demo
Embedded preview of the working product. Use full-screen mode for the complete walkthrough.
Context
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.
Method / approach
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 and technologies
- TypeScript
- React
- TanStack Start
- Recharts
Key deliverables
- Live interactive demo site
- Incident explorer and scenario simulator
- Methods and Trust pages documenting limitations
- Baseline vs AI-assisted escalation scores
Results / findings
- 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.