ASSESSMENT OF SECURITY INTELLIGENCE ANALYSIS IMPACTS TO HUMANITARIAN COMMUNITIES SAFETY AND SECURITY IN KENYA
ASSESSMENT OF SECURITY INTELLIGENCE ANALYSIS IMPACTS TO HUMANITARIAN COMMUNITIES SAFETY AND SECURITY IN KENYA
Amos Muiruri Mburu - Masters of Security Management and Police Studies, Kenyatta university, Kenya
ABSTRACT
Security intelligence analysis involves the systematic collection, evaluation, and interpretation of information to understand potential threats. For humanitarian communities, this means understanding the dynamics of criminal activities, political tensions, economic conditions, and other external factors that may disrupt their operations. Through crime analysis, NGOs identified patterns and trends that may indicate emerging threats, such as increased crime rates in areas where they operate or targeted attacks against humanitarian workers. The current study aimed to assess the security intelligence analysis impacts to humanitarian communities’ safety and security in Kenya. The study objectives were; to evaluate how humanitarian communities incorporate open-source information into their security assessments and decision-making processes related to safety and security and to explore the patterns and trends of criminal activities and how these dynamics impact the safety of humanitarian communities. The study was guided by PESTLE analysis theory and Intelligence-Led Policing (ILP) theory. The study adopted a descriptive research design. The target population for this study consisted of includes program managers, IT personnel, and security officers. There are about 6,000 registered NGOs in the country. A combination of purposive and stratified sampling techniques was utilized to select participants for this study. The sample size included 200 respondents, which is adequate for achieving statistical significance and enabling in-depth analysis. Data was collected using structured questionnaires. Data analysis involved quantitative methods. The quantitative data obtained from the structured questionnaires was analyzed using statistical software such as SPSS. Descriptive statistics, including frequencies and percentages. Further, regression analysis was used to explore the relationship between information security practices and the safety and security of NGOs. The findings revealed that a significant relationship (r = 0.75) between crime hotspots and the presence of NGOs, indicating that NGOs operating in areas with higher crime rates face greater security challenges. Furthermore, a positive correlation (r = 0.68) was found between the regular use of open-source information and the effectiveness of security assessments, suggesting that organizations that actively integrate open-source intelligence are better equipped to anticipate and respond to emerging threats. The study concluded that NGOs face multiple security challenges, including crime, cyber threats, political unrest, and social disruptions, which significantly affect their operations. The use of security intelligence, specifically through crime and threat analysis, enables these organizations to anticipate risks, prepare for potential disruptions, and respond effectively to emerging threats. The study recommended that government should establish frameworks that encourage closer collaboration between security agencies and NGOs. Through sharing intelligence data, especially regarding crime patterns and emerging threats, the government may help NGOs stay informed and better prepare for potential security challenges. Regular engagement through workshops and training sessions will also foster trust and cooperation.
