AI and Cybersecurity in the Lagos State Public Sector: Opportunities and Risks

Abstract

Artificial Intelligence (AI) is rapidly transforming the global cybersecurity landscape, offering advanced capabilities in threat detection, incident response, and operational automation (Buczak & Guven, 2016; Khan et al., 2021). In subnational contexts such as Lagos State, Nigeria’s economic and digital innovation hub, AI adoption within the public sector presents both strategic opportunities and significant challenges (Adekunle & Akinyemi, 2022; Lagos State Government, 2023). As Lagos State intensifies its digital transformation efforts through initiatives like the Smart City Project and Digital Lagos, the integration of AI into cybersecurity systems promises to improve the resilience of government institutions against increasingly sophisticated cyber threats (Olaniyi et al., 2023; Kayode-Bolarinwa, 2025).

AI technologies can empower public agencies by enabling real-time network monitoring, predictive analytics for risk prevention, and automated responses to cyber incidents (Adeniran & Ojo, 2023). These capabilities are particularly important for protecting sensitive datasets such as biometric records, tax information, and healthcare data. However, AI deployment also raises concerns about algorithmic bias, adversarial attacks, increased attack surfaces, and the erosion of public trust due to opaque decision-making (Eze & Olatunde, 2022; Adetunji & Sanyaolu, 2021). Additionally, Lagos State faces challenges including limited regulatory clarity, infrastructure gaps, and insufficient technical capacity for secure AI implementation (Ogunleye & Adeoye, 2023).

This article examines both the transformative potential and the emerging risks of using AI in the cybersecurity architecture of Lagos State’s public sector. Drawing from contemporary literature, government policy documents, and empirical case examples, the paper presents evidence-based recommendations. These include establishing AI-specific cybersecurity governance frameworks, building digital literacy among public servants, developing ethical standards for AI and data use, and fostering inter-agency and public-private collaboration. Together, these strategies aim to ensure a secure, transparent, and citizen-centric application of AI in public administration.