AI-driven deepfake and biometric fraud surge across Africa in 2026
According to a 2026 Digital Identity Fraud Report, AI-powered deepfake scams and biometric spoofing attacks are rising sharply across Africa, with South Africa reporting the highest share of deepfake fraud in Southern Africa and West Africa experiencing 65% of fraud attempts linked to biometric spoofing.
What happened
According to the 2026 Digital Identity Fraud Report by Smile ID, South Africa has the highest share of deepfake-driven fraud in Southern Africa, accounting for 22% of cases in the region. Fraudsters are increasingly using artificial intelligence to manipulate images, videos and biometric verification systems to impersonate legitimate users online.
In West Africa, 65% of digital fraud attempts are linked to biometric spoofing, with criminals bypassing traditional document forgery to exploit weaknesses in biometric verification systems. Spoofing attacks use techniques including deepfake impersonation, face-swap technology, and manipulated photos or videos during identity checks.
In South Africa, nearly nine in ten verification attempts rejected for potential fraud involve biometric impersonation and spoofing. The most common types include 47% no-face-match impersonation, around 40% spoofing attacks, and 13% document manipulation.
Reported impact
Fraud is increasingly targeting verified accounts rather than initial onboarding, with authentication-related fraud occurring five times more frequently than onboarding fraud. Criminals are operating inside verified accounts, targeting login flows, account recovery, device changes and high-value transactions.
Smile ID detected over 100,000 injection-style attacks per month in 2025, using synthetic or pre-recorded images fed into verification systems through emulators or virtual devices. Deepfake-generated biometric fraud enables attackers to automate account takeovers and move funds at scale.
Index analysis
The report is based on anonymised analysis of more than 200 million identity verification checks across 35 countries and 37 industries. Nearly 90% of fraud blocked in 2025 was detected through mobile signals, up from 68% in 2024.
Classification
Sources and evidence
Sources not yet published
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