Alertproof catches Nigeria’s fake alerts
Alertproof uses open-weight Gemma to read bank alerts locally, then validates balances, account details, transaction direction, and session IDs before a trader releases goods. Its offline-first design targets Nigeria’s widespread fake-alert scams in shops, pharmacies, POS businesses, and online sales.
Alertproof gets the architecture right: AI extracts messy bank formats, while deterministic arithmetic makes the payment decision. The strongest innovation is treating a trader’s private balance history as the fraud signal.
- –Balance-chain validation catches forged amounts, replayed alerts, and many wrong-account transfers
- –Session ID checks add useful protection against edited screenshots, while still refusing to treat screenshots as proof of payment
- –Local Gemma processing keeps sensitive alerts and balances off third-party servers
- –Learned layouts reduce repeated inference from roughly 38 seconds to near-instant parsing on supported formats
- –The system remains limited when banks omit account numbers or balances, so “CAN’T TELL” and manual bank-app checks are essential
DISCOVERED
1h ago
2026-10-18
PUBLISHED
1h ago
2026-10-18
RELEVANCE
AUTHOR
RaphElevator