I propose a method that can efficiently apply artificial intelligence technology to integrated security control technology. In other words, it detects cyber attacks and responds appropriately by applying machine learning learning to artificial intelligence based on the big data collected by the integrated security control system. The artificial intelligence-based integrated security service model that analyzes and responds to these behaviors gradually evolves and matures through effective learning methods. In addition, through the proposed security service model, future research directions for security management that can efficiently support the analysis and response of security personnel are presented.