Applied implementation
PrivAI Guard | Northwestern MSIS Capstone | 2026
Employee use of public AI tools often outpaces the privacy and governance controls around them.
Built a cloud-deployed privacy-risk triage application using Next.js, React, TypeScript and Supabase/PostgreSQL. Implemented role-based access control, PostgreSQL row-level security and audit logging, with risk scoring, human review and remediation evidence workflows.
- Shows that governance requirements can be translated into a working technical system.
- Structured risk review and remediation with a human decision path.
- Not automated legal or regulatory decisioning.
- Next.js
- React
- TypeScript
- Supabase/PostgreSQL
- Vercel
- GitHub
Northwestern MSIS capstone — cloud-deployed non-production MVP. Synthetic demonstration data only. Human governance review — not automated legal or regulatory decisioning.