AI in Cybersecurity: Intrusion, Threat Hunting, and Incident Response

Intrusion Detection Systems (IDS) are indispensable tools in cybersecurity, serving as the first line of defense against unauthorized access and potential breaches. They play a crucial role in identifying and mitigating security incidents before significant damage can occur. In this course, you will gain insights into various types of Intrusion Detection Systems (IDS) and explore theoretical models of AI-based IDS, which are essential for robust cybersecurity.

Threat hunting is a proactive approach to cybersecurity that involves searching for threats that may have evaded traditional security measures. We demonstrate how AI-driven threat hunting can help professionals detect and effectively respond to cybersecurity threats. Building on this knowledge, you will explore the AI-backed incident response process, focusing on effectively managing and mitigating the impacts of cybersecurity breaches and operational malfunctions.

We designed this course for cybersecurity professionals, IT analysts and others seeking to enhance their skills in AI-driven intrusion detection, threat hunting and incident response. Completion of ‘Natural Language Processing and Reinforcement Learning in Cybersecurity’ is a pre-requisite for this course. This course features comprehensive and relevant case studies showcasing the latest AI-powered cybersecurity techniques for enhanced learning. Join this course now to strengthen your defenses against all kinds of threats!