Data-Driven Intelligence can Revolutionize Today's Cybersecurity World: A Position Paper
Iqbal H. Sarker, Helge Janicke, Leandros Maglaras, Seyit Camtepe

TL;DR
This position paper argues that data-driven intelligence, leveraging AI and machine learning, can significantly enhance cybersecurity by automating tasks, enabling real-time detection, and supporting human decision-making in complex environments.
Contribution
It highlights the potential of data-driven intelligence to revolutionize cybersecurity practices through automation and improved human-AI collaboration.
Findings
Data-driven intelligence improves threat detection speed.
Automates repetitive cybersecurity tasks.
Enhances decision-making with predictive analytics.
Abstract
As cyber threats evolve and grow progressively more sophisticated, cyber security is becoming a more significant concern in today's digital era. Traditional security measures tend to be insufficient to defend against these persistent and dynamic threats because they are mainly intuitional. One of the most promising ways to handle this ongoing problem is utilizing the potential of data-driven intelligence, by leveraging AI and machine learning techniques. It can improve operational efficiency and saves response times by automating repetitive operations, enabling real-time threat detection, and facilitating incident response. In addition, it augments human expertise with insightful information, predictive analytics, and enhanced decision-making, enabling them to better understand and address evolving problems. Thus, data-driven intelligence could significantly improve real-world…
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Anomaly Detection Techniques and Applications · Digital and Cyber Forensics
