Fintech operator OPay has set out a layered approach to fraud prevention, presented at a media parley on 16 July, built around applying friction selectively rather than uniformly.
The model is risk-based: routine transfers pass through unimpeded, while transactions judged higher risk trigger facial verification. Several controls sit on top of that. Night Guard requires facial verification for unusual high-value transactions late at night. Large Transaction Shield lets customers set their own ceilings. Anti-Scam Shield applies machine learning to identify and halt suspicious transfers as they happen, and an Emergency Lock allows a customer to freeze an account immediately.
On reliability, the company points to redundant payment infrastructure with automatic failover and dedicated direct connections for instant transaction confirmation, reporting a 99.9 per cent completion rate and average processing under one second.
Chief Commercial Officer Elizabeth Wang tied the security agenda directly to adoption, arguing that financial inclusion cannot succeed without security and that trust is what widens digital payment use. Chief Operating and Technology Officer Dotun Adekunle set out the technical measures.
Source: The Sun