Authors : Maharazu Mamman; Abdussalam Muhammad Mustapha; Amina Lawal

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/yekpsxc4

Scribd : https://tinyurl.com/4nmzj4zh

DOI : https://doi.org/10.38124/ijisrt/26May579

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Over the past decade, Katsina State has experienced persistent security challenges, including banditry (kidnapping), cattle rustling, and armed robbery, particularly in seven frontline Local Government Areas (LGAs) out of the thirty-four in the state. These recurrent attacks have led to loss of lives and property, as well as mass migration of residents to relatively safer towns. This study investigates the use of Artificial Intelligence (AI) to checkmate security challenges in selected LGAs of Katsina State. The research adopted a descriptive survey design, using structured questionnaires as the primary instrument for data collection. A total of 90 questionnaires were administered to selected respondents, comprising security personnel, community leaders, and residents across Dan-Musa, Batsari, and Safana Local Government Areas (LGAs). Findings reveal a strong consensus among respondents that AI technologies—such as machine learning, intelligent video surveillance, sensor-based monitoring systems, and data analytics—can significantly enhance intelligence gathering, crime detection, and rapid decision-making. The study highlights that AI integration with Closed-Circuit Television (CCTV) systems can improve monitoring of suspicious activities, support search and rescue operations, assist in forensic investigations, and reduce response time to security threats. Respondents also indicated that automation of routine administrative tasks through AI could enable redeployment of security personnel to high-risk areas. The study concludes that effective deployment of AI-based security systems in Katsina State can strengthen crime prevention strategies and improve overall public safety. It recommends government investment in AI infrastructure, capacity building for security agencies, and policy frameworks to ensure ethical and efficient implementation.

Keywords : Artificial Intelligence; Security; Public Safety; Community Leaders; Crime Detection.

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