  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 cybersecurity solutions in
a wide range of application areas like critical infrastructure, smart cities,
digital twin, industrial control systems and so on. In this position paper, we
argue that data-driven intelligence can revolutionize the realm of
cybersecurity, offering not only large-scale task automation but also assist
human experts for better situation awareness and decision-making in real-world
scenarios.
