Harnessing Cutting-Edge Technology and Analytics to Convert Data into Actionable Cybersecurity Insights

EasyChair Preprint 15169

Abstract

In an era of rapid technological progress and escalating cyber threats, the demand for robust cybersecurity solutions has become increasingly vital. This paper investigates the integration of advanced technologies and analytics to transform raw data into actionable cybersecurity insights. It begins by addressing the challenges organizations face in managing vast amounts of security-related data, highlighting the limitations of traditional methods. By leveraging machine learning, artificial intelligence, and big data analytics, we propose a framework that enhances threat detection, response capabilities, and predictive analytics. Our approach emphasizes real-time data processing, enabling organizations to swiftly identify vulnerabilities and detect anomalies. Case studies showcase successful implementations of these technologies, demonstrating notable improvements in incident response times and overall organizational security. This paper highlights the necessity for organizations to embrace a data-driven approach, fostering a proactive cybersecurity culture that not only mitigates risks but equips decision-makers with critical insights to navigate an ever-evolving threat landscape.

Keyphrases: AI-Powered Algorithms, Cybersecurity Insights, Pshing

@booklet{EasyChair:15169,
  author    = {Gecum Batida and Ayesha Noor},
  title     = {Harnessing Cutting-Edge Technology and Analytics to Convert Data into Actionable Cybersecurity Insights},
  howpublished = {EasyChair Preprint 15169},
  year      = {EasyChair, 2024}}