Consulting
AI Fraud Protection
I designed and launched the fraud-prevention layer for a credentialed-professional marketplace: three layers of defense that stop bad actors before they reach your platform, without slowing down legitimate users.
Behavioral detection
Automated alerts on suspicious signup activity, plus pattern recognition that flags profiles that look manufactured rather than real, so reviewers focus on the highest-risk accounts first.
Identity verification
Government-issued ID verification through Stripe Identity, with a monitoring dashboard to send verification links and track completion end to end.
Credential verification
Checks against authoritative public sources: NPPES for NPI validation and Axuall for licenses, credentials, and any disciplinary history.
The layers work together: behavioral signals flag risk early, ID verification confirms a real person is behind the account, and credential checks confirm that person is who they claim to be professionally.
Who this is for
- Marketplaces and networks that onboard credentialed professionals
- Platforms where fake or duplicate accounts cost money or erode trust
- Teams that still verify identity or credentials by hand