Skip to content
This repository was archived by the owner on May 9, 2026. It is now read-only.
Juliemakary edited this page Nov 7, 2025 · 7 revisions

1. Data Protection

  • Risk: The platform stores sensitive user information (name, address, contact info, etc.), which could be exposed in the event of a security breach or system failure.
  • Mitigation (planned): We will implement role-based access, ensuring that only admins can view all sensitive data, and all sensitive information is encrypted.

2. UX Challenges

  • Risk: Users may be uncomfortable in trusting AI-generated communication or automated legal claims.
  • Mitigation (planned): Provide justification of AI decision making processes and let users approve claims.

3. Regulatory Compliance

  • Risk: Flight compensation laws vary by region (Canada, U.S., EU, etc.) which can cause legal issues in the way people are compensated.
  • Mitigation (planned): Apply correct compensations per region and do legal consultation by engaging with an attorney with the stakeholder.

4. Scalability

  • Risk: Risk of not being able to scale well with user growth and background jobs may not handle increased loads.
  • Mitigation (planned): Add caching for flight data while implementing a cleanup job to remove expired flights older than 1 year, and monitor background job performance to identify problems early.

Clone this wiki locally