ARTIFICIAL INTELLIGENCE AND DIGITAL SECURITYMANAGEMENT IN SELECTED ORGANIZATIONS IN RIVERS STATE

Abstract

This study investigated the effect of artificial intelligence (AI) on digital security management in selected organisations in Rivers State. A descriptive survey research design was adopted, involving a population of 1,480 employees across commercial banks, oil and gas firms, telecommunications companies, and public sector institutions. Using a multi-stage sampling technique, a sample size of 298 respondents was determined, and data were collected through the “Artificial Intelligence and Digital Security Management Questionnaire (AIDSMQ)” administered electronically and physically. The study employed descriptive statistics and simple linear regression analysis to answer research questions and test hypotheses. Findings revealed that AI adoption is significant in digital security management, with 44–47% of respondents strongly agreeing on AI use in monitoring, automation, and integration. Regression analysis showed r = 0.812, R² = 0.659, and F = 621.385, confirming a strong relationship. AI also positively influenced threat detection and response efficiency, with r = 0.846, R² = 0.716, and F = 778.263. Challenges including high cost, skill gaps, complexity, data privacy concerns, and resistance to change were identified as significant factors affecting implementation, with r = 0.768, R² = 0.590, and F = 515.672. The study concluded that AI adoption significantly enhances digital security management and threat response, while implementation challenges remain critical. Recommendations include investment in AI systems, structured staff training, regulatory frameworks, and gradual system integration to ensure sustainability