Transforming Cybersecurity: the Role of AI in Threat Detection and Response

EasyChair Preprint 15369

Abstract

As cyber threats continue to evolve in complexity and frequency, traditional cybersecurity measures are increasingly inadequate. This paper explores the transformative impact of artificial intelligence (AI) on threat detection and response mechanisms. By leveraging machine learning, predictive analytics, and automated response systems, organizations can enhance their security posture and respond to threats more effectively. The integration of AI not only improves the speed and accuracy of threat identification but also enables proactive measures to mitigate potential risks. This study examines current AI applications in cybersecurity, discusses the challenges and limitations of these technologies, and highlights future trends in AI-driven security solutions.

Keyphrases: Cybersecurity, Predictive Analytics, Risk Mitigation, Threat Detection, automated response, machine learning, security solutions

@booklet{EasyChair:15369,
  author    = {Kehinde George and Santurcy Damife and Jolly Face},
  title     = {Transforming Cybersecurity: the Role of AI in Threat Detection and Response},
  howpublished = {EasyChair Preprint 15369},
  year      = {EasyChair, 2024}}