AI-Driven Cybersecurity: Proactive Threat Detection and Intelligent Response Systems
Keywords:
AI-driven cybersecurity, threat detection, machine learning, anomaly detection, risk mitigation.Abstract
With growing threats, traditional methods of Security are no longer enough to guarantee protection for modern day digitalinfrastructures. AI-driven Cybersecurity: Proactive threat detection and intelligent response systems powered by machinelearning (ML) and artificial intelligence (AI) techniques. These systems can assess potential threats and analyze data forpatterns, alerting users of suspicious activity
References
Buczak, A. L., & Guven, E. (2016). A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Communications Surveys & Tutorials, 18(2), 1153-1176.
Saxe, J. B., & Berlin, M. (2017). Deep learning for malware classification: Insights and challenges. Proceedings of the 5th International Conference on Cyber Security and Protection of Digital Services, 42-52.


