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This repository was archived by the owner on May 9, 2026. It is now read-only.
Juliemakary edited this page Jan 3, 2026 · 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. AI-Generated Communication

  • Risk: Users may be uncomfortable in trusting AI-generated communication or automated legal claims.
  • Mitigation (planned): Provide clear justification for AI decision making processes (e.g. compensation logic). Allow users to review, and approve claims before submission such that users are always in control of the decisions.

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: 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.

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