THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN DEFENSE TECHNIQUES AND THE ORCHESTRATION OF SYSTEMS AGAINST CYBER THREATS

Abstract

This study presents an in-depth analysis of the evolution of contemporary cyber threats through the case study of the hacktivist group Anonymous Sudan. It examines the group’s motivations, strategies, and global impacts, focusing on the use of DDoS (Distributed Denial of Service) attacks to disrupt critical infrastructures and essential online services. The research highlights the increasing sophistication of these attacks and the limitations of traditional defense systems—such as firewalls and signature-based intrusion detectors—when facing automated and adaptive cyber operations. The main objective is to evaluate the effectiveness of Artificial Intelligence (AI) and Machine Learning (ML)-based security solutions in mitigating distributed and large-scale attacks. The study explores the application of intelligent algorithms capable of detecting anomalies and responding in real time, emphasizing the role of SOAR (Security Orchestration, Automation and Response) platforms in coordinating automated defense mechanisms. Supported by a bibliographic and documentary review, the research demonstrates that the integration of AI into cybersecurity marks a new era in digital defense.The findings indicate that modern cybersecurity has become a strategic battle between offensive and defensive AI, where adaptability, automation, and continuous learning are essential to ensure digital resilience and operational continuity in critical environments.