Summary

This chapter underscored the pivotal role of cybersecurity data analytics and its paramount importance in defending against evolving cyber threats. It revealed the symbiotic partnership between cybersecurity and data analytics, powered by integrating AI technologies. AI’s transformative influence is showcased, enabling proactive cyber risk detection, mitigation, and prevention through advanced algorithms, ML, and DL.

The chapter explored AI’s multifaceted applications in cybersecurity, encompassing anomaly detection, behavior analysis, threat prediction, and IR. It acknowledged challenges, such as AI model biases and integration complexities, emphasizing the need for collaborative efforts between AI and human analysts, combining algorithmic precision with human judgment.

Furthermore, it addressed the complex regulatory landscape governing data privacy and compliance in cybersecurity data analytics, emphasizing ethical considerations organizations must navigate...