Architecture design of computer network database protection system based on artificial intelligence

The purpose of this study is to explore the computer network database protection system based on artificial intelligence, and improve the security protection ability of database by introducing artificial intelligence technology. The system combines advanced machine learning algorithms and deep learning models to monitor database status in real time, identify potential security threats, and automatically take appropriate defensive measures. The experimental results show that the system has remarkable advantages in improving the efficiency of database security protection, reducing the false positive rate and false negative rate, and provides a new solution for the security protection of computer network database.