Gen AI is Fueling a New Wave of Fraud in Africa, 2025 Smile ID Report Reveals
By Lauren Hinton · 29 January 2025

Smile ID, Africa's leading provider of identity verification solutions, has released its 2025 Digital Identity Fraud in Africa Report, highlighting critical fraud trends across the continent. The report uncovers sophisticated fraud tactics exploiting vulnerabilities in fintech platforms and digital ecosystems, accelerated by emerging technologies such as Generative AI, deepfakes, and insider-assisted schemes. The report also offers clear, actionable strategies to help business leaders protect trust, revenue, and maintain operational stability in 2025.
Drawing on anonymised data from over 110 million identity verification checks conducted by Smile ID across Central, East, West, and Southern Africa in 2024, the report highlights ongoing challenges and opportunities. The widespread adoption of biometric verification over traditional textual methods has significantly strengthened fraud prevention, driving the overall fraud rate during KYC checks down to 25% in 2024 (a 4-percentage-point decrease). However, this year-over-year progress has prompted fraudsters to develop more sophisticated attack methods targeting biometric systems, resulting in millions of dollars in fraud losses across key African markets. Smile ID continues to tackle unique threats African businesses face when onboarding users, such as identity farming, insider-assisted account takeovers, and advanced document forgeries.
The report revealed significant regional variations in fraud methods across Africa. East Africa led in document fraud cases, reporting the highest combined rejection rate at 27% in 2024, driven by the region’s reliance on documents. West Africa emerged as the epicentre of biometric fraud, showing the highest incidents of spoofing and face-match inconsistencies, with notable vulnerability to AI-powered fraud attempts. Central Africa maintained a rejection rate of 22% [up by 3%], while Southern Africa saw rates rise from 9% to 21%, primarily attributed to fraud attempts involving the retiring green book.
Analysis of fraud attempt timing revealed critical patterns:
- Authentication attempts showed four times higher fraud rates compared to registration, indicating a significant rise in account takeover risks.
- Across all African regions, fraudulent activities concentrated between 7 PM and 3 AM GMT, peaking at 11 PM GMT.
Companies in this story: Smile ID
People in this story: Mark Straub