Geospatial Risk Intelligence
Course goal — Teach location-aware risk detection. Level — Professional · Duration — ~6 hours · Format — Lessons + labs + final project
Who this is for
- Fraud and AML teams at cross-border payments and remittance providers
- Security engineers building device and IP intelligence
- Risk operations covering high-risk corridor monitoring
- Regulators monitoring cross-border flows
Modules
- Geospatial risk basics
- IP, device, and location signals
- Cross-border risk detection
- High-risk corridors and sanctions geography
- Geo-velocity anomalies (impossible travel)
- Regional risk modeling
- Privacy-safe location intelligence
- Investigative geospatial workflows
Hands-on labs
- Detect impossible travel from session and transaction logs
- Map risky transaction locations
- Build a country-level risk rule
- Flag cross-border anomalies in a remittance flow
Final project
Design a geospatial fraud detection model for cross-border payments, including signal sources, rules, ML scoring, and analyst workflow.
Knowledge check
A 20-question quiz covering signals, geo-velocity, sanctions geography, and privacy-safe location use. 75% passing score.
Outcomes
- Detect where risk happens, not just who is involved
- Combine IP, device, and behavior into a geospatial risk score
- Apply privacy-respecting techniques for location intelligence
- Stand up cross-border anomaly detection programs
Prepares you for
- Wardya Certified Professional: Fraud Intelligence
- Wardya Certified Expert: Trust Intelligence Architect