AI-Powered Threat Detection and Response: Transforming the Landscape of Cybersecurity

EasyChair Preprint 15388

Abstract

This article explores the transformative impact of AI-driven threat detection and response on the cybersecurity landscape. As cyber threats grow in volume and complexity, traditional security measures face significant limitations, highlighting the need for innovative solutions. AI technologies—such as machine learning, natural language processing, and behavioral analytics—enable real-time data analysis and automated responses, enhancing the accuracy and speed of threat identification while reducing false positives. The article discusses the benefits of AI integration through case studies, illustrating its effectiveness in mitigating risks. However, it also addresses challenges such as ethical implications, reliance on technology, and the importance of integrating AI with existing security frameworks. Looking ahead, the article emphasizes the necessity for collaboration between AI systems and human expertise to foster a resilient cybersecurity strategy. Overall, embracing AI is essential for organizations to navigate the evolving cyber threat landscape effectively.

Keyphrases: AI-Driven Threat Detection, false positives, machine learning

@booklet{EasyChair:15388,
  author    = {A Yaseen and R Hasan and Sk Hassan},
  title     = {AI-Powered Threat Detection and Response: Transforming the Landscape of Cybersecurity},
  howpublished = {EasyChair Preprint 15388},
  year      = {EasyChair, 2024}}