Across Africa’s financial centres, from Johannesburg and Nairobi to Lagos and Accra, corporate intelligence teams are faced with a new reality: fraud is no longer simply digital; it is algorithmic. Artificial intelligence has dramatically lowered the barrier to entry for sophisticated deception, and African companies are increasingly compromised.
According to the 2023 African Cyberthreat Assessment Report by INTERPOL, cybercrime already costs African economies billions of dollars every year. What has changed since then is not just the volume of fraud, but its quality as well. Generative AI tools now allow fraudsters to automate phishing campaigns, mimic executive communication styles, generate fake compliance documents, and deploy deepfake audio or video that can withstand casual scrutiny. For corporate due diligence professionals, this shift is structural, it is not just temporary.
Deepfakes and executive impersonation in African markets
Deepfake fraud, the use of AI-generated voice and video to impersonate real individuals, is increasingly emerging in African corporate environments. In South Africa and Nigeria, several financial institutions have reported cases where criminals utilised cloned executive voices over WhatsApp or Microsoft Teams to request urgent transfers. These scams exploit hierarchical business cultures, where urgent instructions from senior leadership are rarely questioned.
In 2024, the South African regulator Financial Sector Conduct Authority had warned financial institutions about increasing digital impersonation risks linked to synthetic media. Similarly, banks that are supervised by the Central Bank of Nigeria have strengthened customer verification rules after incidents involving AI-assisted identity fraud targeting fintech platforms.
What makes deepfakes especially dangerous in Africa is the continued reliance on relationship-based trust networks. Many transactions still remain initiated or confirmed through voice notes, informal calls, or messaging platforms. When a familiar voice can be replicated with seconds of publicly available audio, “call-back verification” ceases to be a sufficient control.
Synthetic identities and the fintech expansion
Africa’s digital finance boom has created enormous opportunity, and it has created a parallel fraud surface. Kenya’s mobile money ecosystem, Nigeria’s digital lending platforms, and South Africa’s online investment products have expanded access to millions. Yet AI now allows the creation of synthetic identities that combine real and fabricated data to pass onboarding checks.
Traditional Know Your Customer processes, ID documents, selfies, proof of address are vulnerable to AI-generated images and forged documentation. Where biometric verification systems were once seen as the biggest safeguards, advanced generative models can now produce hyper-realistic facial images designed to bypass automated screening tools.
For due diligence teams evaluating counterparties, startups, or politically exposed persons, risks go beyond retail fraud. Shell companies supported by AI-generated directors, fabricated LinkedIn profiles, and auto-generated compliance histories are becoming more difficult to detect through surface-level research. Corporate intelligence has to now interrogate metadata, behavioural patterns, and cross-platform inconsistencies rather than rely solely on document validation.
Rethinking due diligence for an AI era
Corporate intelligence in Africa has to move from static verification to dynamic risk monitoring. This requires three fundamental shifts.
First, verification must become multi-layered. Independent confirmation channels, secure digital signatures, and behavioural analytics have to replace reliance on voice or visual recognition. Second, organisations have to prioritise investing in AI-assisted fraud detection tools capable of identifying linguistic anomalies, synthetic image artefacts, and unusual transaction patterns. Third, cross-sector intelligence sharing is important and highly critical. Banks, telecom operators, regulators, and corporates must collaborate to track emerging tactics in real time.
The African response cannot simply replicate Western compliance models. Solutions must account for mobile-first communication habits, informal business networks, and varying digital literacy levels. Training executives and staff to recognise AI-enabled deception is as important as deploying new software.
Beyond prevention: Protecting trust
Fraud in Africa has always evolved beside opportunity. What makes the current moment different is that AI allows deception to scale faster than traditional oversight mechanisms. Corporate due diligence is no longer a background compliance function; it is central to safeguarding capital flows, investor confidence, and institutional credibility.
In the coming years, African companies that treat AI-powered fraud as a strategic governance issue , rather than an IT problem, will be better positioned to ensure and protect stakeholder trust. The challenge is not merely detecting what is fake, but rebuilding verification frameworks in a continent where digital growth and digital risk are advancing side by side.
Written by:
*Dr Iqbal Survé
Past chairman of the BRICS Business Council and co-chairman of the BRICS Media Forum and the BRNN
*Sesona Mdlokovana
Associate at BRICS+ Consulting Group
Africa Specialist
**The Views expressed do not necessarily reflect the views of Independent Media or IOL.
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