Ismail A. Humied - Associate Professor, Faculty of Police, Policy Academic, Ministry of Interior, Sana’a, Yemen

Cyberattacks and threats are in complexity every day. With the number ofattacks growing every day around the world, there are a variety of methods andstrategies for penetrating business systems and individual devices. Individual attackers,organizations, and whole nations are responsible for these attacks. Attackresources are growing and cyberattacks can have severe global impact and consequences.These variables make it difficult for security teams to keep pace, sosmarter solutions are needed. This research provides an overview of how two areasof artificial intelligence (AI), machine learning and deep learning, can be usedto meet cybersecurity challenges. The research can also show how existing AItechnologies can improve cybersecurity. Security systems can use AI to automatetime-consuming manual security operations and make detection and response moreproactive and predictive. As part of this research, a workshop was held with officialfrom government and private agencies, who are responsible for network monitoringand security. During this workshop, a discussion occurred what problems individualshad at work. Thus, this research includes potential AI-based remedies foridentifying issues.

Artificial Intelligence, Machine Learning, Deep Learning, Cybersecurity,Cyber-attacks, Cybercrime, Detect.