ADVANCING DATA SECURITY THROUGH AI-DRIVEN CLASSIFICATION: A FRAMEWORK FOR INTELLIGENT THREAT DETECTION AND PRIVACY PRESERVATION
Arfi Siddik Mollashaik · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · 2025
The integration of artificial intelligence and machine learning technologies into data security frameworks represents a significant advancement in cybersecurity capabilities.This article examines the evolving landscape of data classification and security, focusing on how AI-driven approaches enhance threat detection, enable realtime analysis, and facilitate predictive security measures.Through an analysis of current implementations across various sectors, including financial services and healthcare, the article demonstrates the effectiveness of machine learning algorithms in identifying anomalies, detecting potential vulnerabilities, and automating response mechanisms.