The current study suggests the national framework based on the concept of AI-enabled cyber threat intelligence systems. The increased risk of digital warfare and the shortcomings of the traditional patterns of cybersecurity. The use of artificial intelligence in the early warning of such threats, real-time response, and superior data analysis. It is a crucial concern to national security. The study will determine the contribution of AI-driven CTIS to the improvement of cyber defense capabilities in government and defense. It is critical infrastructure sectors and determines factors that affect these capabilities. The descriptive research design was used, and information was gathered using structured surveys that were administered to 300 cybersecurity practitioners in large and small firms. The findings indicate the maturity of an AI system, and the greater the level of automation in detecting the threat, the better the detection accuracy and the faster the incident response time. A multivariate regression model revealed that there was a positive relationship regarding the independent variables and the effectiveness of AI-CTIS, checking in with an R² = 0.76 and a p < 0.001. Inter-agency cooperation and learning of workforce skills were defined as the most crucial ingredients in the streamlining of CTIS performance. The research project has not overlooked some of the major challenges, which include the failure to standardize, poor policy infrastructure, and interoperability. The national cybersecurity approach is the proactive defense strategy. Companies remain digitally resilient in the long-term perspective. It is high quotients of targeted cyber threats that are changing in detail and quantity.
Siam et al. (Thu,) studied this question.
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