Advancements in AI-Driven Cybersecurity Solutions

Authors

  • Kai Walker PhD
  • Jamie Taylor Dr.
  • Morgan Martin Prof.

Keywords:

Cybersecurity, AI, Threat Detection, Machine Learning, Security Frameworks

Abstract

In the face of increasing cyber threats, AI-driven cybersecurity solutions are becoming essential. This article reviews the latest advancements in AI for identifying and mitigating cyber threats. We discuss machine learning algorithms that enhance threat detection and response times, and explore the integration of AI in developing robust cybersecurity frameworks. Our findings suggest significant potential for AI to revolutionize cybersecurity practices.

Author Biographies

Kai Walker, PhD

PhD
Delft University of Technology
Mekelweg 5, 2628 CD Delft, Netherlands

Jamie Taylor, Dr.

Dr.
KTH Royal Institute of Technology
Brinellvägen 8, 114 28 Stockholm, Sweden

Morgan Martin, Prof.

Prof.
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

References

Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Published

2024-09-18

Issue

Section

Articles