Application of Artificial Intelligence Systems in Database Analysis: Theoretical and Practical Approaches

Abstract

This article investigates the application of artificial intelligence (AI) technologies in the analysis and management of databases. It outlines the inherent limitations of traditional approaches and emphasizes the advantages of AI-driven solutions, particularly those leveraging machine learning (ML) and deep learning (DL) techniques. The article provides practical examples of AI-based methods for anomaly detection, data classification, predictive analytics, proactive identification of cyber threats, real-time system monitoring, and adaptive security policy management. Furthermore, it explores the significant potential of AI to enhance automation, improve accuracy, and optimize the efficiency of database infrastructures, ultimately contributing to more scalable, intelligent, and resilient data management systems.