Security Model
Preflix AI separates public education pages from protected bill review workflows. Public pages are designed to provide information and route contact requests, while sensitive documents belong in authenticated product surfaces with stronger controls.
Security planning should assume that medical bills can contain protected health information, insurance identifiers, financial details, and family information. The product should limit access and keep a clear audit trail.
Data Protection
Protected workflows should use modern TLS for data in transit, encryption at rest for sensitive storage, secure key management, and scoped service credentials. Backups and logs should avoid unnecessary sensitive content.
Public forms should collect only non-sensitive contact details. If a visitor needs to share documents, support should route them to an approved secure channel.
Access And Monitoring
Administrative access should be limited, reviewed, and logged. Production support workflows should make it clear when a staff member needs access to an account and why.
Monitoring should cover authentication events, document access, permission changes, exports, unusual activity, and infrastructure alerts. Incident response should define triage, containment, notification, and remediation steps.
Responsible Disclosure
Preflix AI should provide a security contact for vulnerability reports and ask researchers not to access, modify, or disclose patient data. Reports should include the affected URL, steps to reproduce, impact, and contact information.
A production program can later add a formal bug bounty, safe harbor language, severity targets, and response timelines.