EventsThe 1st International Online Conference on Technologies
Published
This submission belongs to the session S1. Information and Communication Technologies of the event The 1st International Online Conference on Technologies
Published date
06 Nov, 2026
Academic Editor
author-avatarSotirios K. Goudos
Citation
Shina Ayobami Omoniwa, AI and Cybersecurity in Nigeria: Mapping Policy and Threats, in Proceedings of The 1st International Online Conference on Technologies, 11 November–13 November 2026, MDPI: Basel, Switzerland
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AI and Cybersecurity in Nigeria: Mapping Policy and Threats

Shina Ayobami Omoniwa 1,2
1. Cybersecurity Department, Faculty of Computing, Karu Campus, Bingham University, Karu, Nigeria
2. International Cybersecurity and Digital Forensics Academy, Lafia Beriberi, Nigeria
Abstract

Background: Nigeria's rapid economic digitisation, projected to reach $27 billion by 2030, has precipitated a parallel surge in sophisticated cyber threats. As Artificial Intelligence (AI) becomes ubiquitous, it offers dualistic capabilities: serving as an essential mechanism for national defence, while simultaneously accelerating cybercrime through deepfakes, automated phishing, and adversarial attacks. Consequently, Nigeria's legislative frameworks do not match-up.

Objectives: This review maps existing literature and policy documents on AI governance and cybersecurity in Nigeria, identifies critical regulatory gaps, examines the evolution of AI-enabled threats, and benchmarks national strategies against global best practices.

Methods: Following JBI methodology and PRISMA-ScR guidelines, a systematic search was conducted across academic databases and grey literature from government portals. Inclusion criteria iincluded peer-reviewed articles, policy documents, legislative texts, and reports (2015–2025) addressing Nigerian AI governance. Data were extracted using a standardised form and analysed through thematic analysis.

Results: The review identified 282 sources. Analysis showed Nigeria has foundational policies, including the Cybercrimes Act (2015), Data Protection Act (2023), and Draft National AI Strategy but the static nature of these laws lags behind dynamic AI-driven threats. Significant gaps exist regarding algorithmic manipulation, deepfake fraud, decentralised finance vulnerabilities, and autonomous agent crimes. Findings highlight five themes: (1) the evolution to AI-enhanced attacks; (2) efficacy of current legal frameworks; (3) pillars of the National AI Strategy; (4) global comparative analyses; and (5) strategic recommendations for resilience.

Conclusions: AI governance is a foundational element of Nigeria's cybersecurity posture. Effective governance requires amending the Cybercrimes Act to criminalise AI-specific offenses, operationalising the National AI Risk Management Framework with mandatory high-risk audits, establishing a Cybersecurity Task Force, and investing in sovereign cloud infrastructure to ensure data sovereignty.

Keywords
AI Governance
Cybersecurity
Nigeria
Polycentric Governance
Deepfakes
National AI Strategy
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