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

Name: AI in Cybersecurity: Intrusion, Threat Hunting, and Incident Response
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Learn to use AI tools to detect attacks, find threats, and handle cybersecurity incidents in this free online course.

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Learning Outcomes

In this free course, you will learn how to:

Discuss different types of Intrusion Detection Systems (IDS) and their significance
Analyze case studies illustrating the deployment of AI-driven IDS
Compare theoretical models of AI-based IDS
Identify future directions in the evolution of intrusion detection systems
Describe the key principles of threat hunting for identifying and mitigating cybersecurity threats
Evaluate case studies demonstrating the proactive use of AI in cybersecurity
Explain the use of theoretical frameworks for AI-driven threat hunting
Outline the limitations and challenges associated with AI in threat hunting
Summarize the key steps involved in the incident response process
Assess theoretical models of AI in incident response
Recognize future trends and developments in AI for cybersecurity incident response

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