Cybersecurity Fundamentals: AI Agents, GenAI & Defense Risk

About this course

This course contains the use of artificial intelligence.

Artificial intelligence and autonomous agents are no longer a future concept in cybersecurity - they are already reshaping how organizations detect threats, respond to incidents, and defend against attackers who are themselves using AI. This course is designed for a general audience: no prior technical or cybersecurity background is required, and every concept is explained from first principles before building toward practical application.

Across four comprehensive parts, you will start with the fundamentals - what AI, machine learning, and generative AI actually are, what AI agents do differently from traditional software, and the core cybersecurity concepts every defender needs (the CIA triad, the modern threat landscape, and where AI and security genuinely intersect). From there, you will go inside the Security Operations Center to see how AI agents automate threat detection, alert triage, and threat hunting, and why human oversight remains essential even as automation grows.

The course then turns to the risks unique to generative AI itself: prompt injection and jailbreaking, AI-generated phishing and deepfakes, data poisoning, AI supply chain vulnerabilities, and real-world incidents where AI security failed - because defending AI systems is just as important as using AI to defend. Finally, you will learn how to build a secure, well-governed AI-enabled defense program: policy and compliance, AI-assisted incident response, explainability and auditing, workforce upskilling, and a realistic look at where autonomous defense is headed next.

Whether you work in security, technology leadership, or are simply curious how AI is reshaping both sides of the cybersecurity fight, this course gives you a clear, practical, and honest foundation - including the real limitations and risks, not just the promise.

This course contains the use of artificial intelligence.

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