Digital Safety Ecosystems and Public Security: Integrating Artificial Intelligence, Community Policing, and Risk-based Intelligence for Sustainable Security Management

Authors

  • Virginia Ifeyinwa Onuorah Department of Public Policy and Governance, Faculty of Social Sciences, School of Post-Graduate Studies, Nasarawa State University, Keffi, Nigeria Author

DOI:

https://doi.org/10.68096/7nre0q79

Keywords:

Artificial Intelligence; Community Policing; Digital Safety Ecosystem; Risk- Based Intelligence.

Abstract

Rapid urbanisation, technological transformation, and the growing sophistication of criminal networks have created new challenges for public safety governance worldwide. Traditional policing strategies, which largely depend on reactive responses to crime, are increasingly inadequate for addressing emerging threats such as cybercrime, organised crime, and data- driven criminal activities. Despite the growing adoption of digital technologies such as Artificial Intelligence, predictive analytics, and smart surveillance systems, many public safety institutions still operate fragmented intelligence structures that limit effective integration of technology, community engagement, and strategic risk management. Against this backdrop, the Research examined how innovative digital safety ecosystems that integrate Artificial Intelligence, community policing, and risk-based intelligence can enhance sustainable public security governance. The objective of the research is to conceptualise and analyse an integrated framework that combines technological innovation, participatory policing strategies, and intelligence-led decision-making to strengthen proactive crime prevention. The Research adopted a qualitative analytical methodology based on systematic literature review, policy analysis, and secondary data synthesis from scholarly publications and institutional reports on digital policing and public safety management. Findings indicated that AI-driven predictive systems improve crime pattern detection and resource allocation, while community policing strengthens public trust and information sharing between citizens and law enforcement agencies. Risk-based intelligence further supported strategic planning by prioritising threats according to probability and impact. The Research concludes that integrating these components within a coordinated digital safety ecosystem can enhance proactive policing capacity, institutional accountability, and sustainable public security outcomes. It recommends integrated digital governance frameworks.

 

 

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Published

07-08-2026