NEXT-GEN CYBER SECURITY: AI-DRIVEN MACHINE LEARNING ALGORITHMS REVOLUTIONIZING CLOUD SECURITY

Authors

  • Iqra Irfan Rana Department of Computer Science University of Agriculture Faisalabad
  • waqas Department of Computer Science University of Agriculture Faisalabad
  • Rana Muhammad Saleem University of Agriculture Faislabad Pakistan
  • sidra Department of Computer Science University of Agriculture Faisalabad
  • Huma Department of Computer Science University of Agriculture Faisalabad
  • Arbish Department of Computer Science University of Agriculture Faisalabad
  • Umar Department of Computer Science University of Agriculture Faisalabad

Keywords:

Cyber Security, Deep Learning, Machine Learning, Cyber Threats

Abstract

The aim of this study is to observe how developing technologies, particularly Artificial Intelligence (AI) and Machine Learning (ML). There are changes in current cybersecurity, particularly in cloud security. The development research from 2019 to 2025 shows that security systems are becoming progressively healthy with the help of AI and ML. These technologies can recognize threats in real time, recognize doubtful behavior, predict upcoming attacks in advance and even take reflex security actions. The developing platforms like SIEM, SOAR and Google Chronicle use AI based analytics to quickly understand the speed, strength and nature of attacks in the cloud and re-join quickly. Although AI-based security organizations face privacy matters, difficulties in explaining decisions and challenges in testing in real environments. The results show that AI expressively progresses the accuracy, speed and flexibility of security. This research establishes that AI and ML-based algorithms are becoming the underpinning of future cloud security. In which is more automatic, effective and accomplished of dealing with the latest generation of cyberattacks.

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Published

2026-06-30