Ideas for Enhanced Mobile Surveillance Detection in FortiPath

[cywf]

Hello FortiPath community!

As we continue to innovate and enhance FortiPath's capabilities, we're exploring ways to improve surveillance detection while mobile. This includes both vehicular and on-foot scenarios. We've brainstormed some ideas and would love to hear your feedback and additional suggestions:

1. Demeanor Hit System: Integrate a system that logs "demeanor hits" when the same vehicle is spotted after changes in time, distance, and direction.
2. Camera Integration: Incorporate cameras (like the Contour series) facing the rear, side, and front of vehicles to capture potential surveillance.
3. Database Logging: Log all demeanor hits into an SQL database. A system of 2 hits could be categorized as "grey" (potential surveillance), and 3 hits as "black" (confirmed surveillance).
4. Color-coded Alert System: Use a color system to indicate the level of threat:

• White: Clear (no surveillance detected)
• Grey: Potential surveillance
• Black: Confirmed surveillance

5. Vehicle Details Logging: The system should be capable of logging plate numbers, make, model, and color of potentially surveilling vehicles.
6. Facial Recognition: If cameras capture a clear facial image, the system should log the entry and then run our OSINT tool to gather more information.
7. OSINT Integration: The system should leverage FortiPath's OSINT functionality to match any captured details to known threats in the database.
8. Geo-fencing: Set up virtual boundaries, and if a potential surveillance vehicle enters/exits these boundaries frequently, it raises an alert.
9. Integration with Traffic Cameras: If possible, integrate with city traffic cameras to get a broader view of potential surveillance vehicles.
10. Pattern Recognition: The system should be able to recognize patterns, such as a vehicle taking the same turns or stops as the principal's vehicle over a period of time.
11. Audio Alerts: Integrate real-time audio alerts for the protection team when a potential threat is detected.
12. Integration with Navigation Apps: Integrate with apps like Waze or Google Maps to understand usual traffic patterns and differentiate between regular vehicles and potential surveillance.
13. Heat Maps: Create heat maps based on the frequency of surveillance hits in particular areas, helping in route planning.
14. Historical Data Analysis: Analyze past trips to identify patterns of surveillance and predict potential future threats.
15. Cloud Integration: Store all captured data securely in the cloud, allowing for real-time analysis and sharing with other team members.
16. Real-time Sharing: Allow the protection team to share real-time data with other team members or with a central command center.
17. Integration with Other Sensors: Incorporate other sensors, like infrared or motion sensors, to detect surveillance, especially during nighttime.

We believe these enhancements can significantly improve FortiPath's ability to detect and counter surveillance threats while on the move. We'd love to hear your thoughts on these ideas and any additional suggestions you might have.

Best regards,
Kylo Parisher