At Vitalis AI, clinical security and neural integrity are of paramount importance. We prioritize the safety of diagnostic data and are committed to maintaining a robust security posture under the authorship of Rajkaran.
If you've identified a security vulnerability, we urge you to report it immediately. Please do NOT open a public issue; instead, follow the steps below:
- Validate the vulnerability locally to confirm it's not a configuration error.
- Document any steps to reproduce, including environment details and data types involved.
- To protect clinical data and system integrity, we request Responsible Disclosure.
- Email security reports with "Vitalis Security: [Vulnerability Name]" to rajkaran@vitalis.ai (placeholder/real).
- We aim to acknowledge vulnerability reports within 48 clinical hours.
- We will provide a timeline for neutralization and verification.
Vitalis AI adheres to "Zero Knowledge" processing for clinical documents:
- Neural Isolation: Diagnostic PDFs are processed locally; text is not used for model training.
- Credential Safety: User and API secrets are never committed to version control (
.streamlit/secrets.toml). - Telemetry Protection: Communication with the Supabase cloud occurs over TLS-encrypted channels.
Vitalis AI is a professional medical intelligence project maintained by Rajkaran.
Clinical Intelligence. Secured.