As artificial intelligence becomes increasingly embedded in digital systems, cybersecurity is rapidly evolving alongside it. This session introduces the core concepts of AI in cybersecurity and explores how machine learning models are used to detect, analyse, and prevent cyber threats.

Designed for aspiring cybersecurity professionals and beginners in AI, the webinar will break down complex ideas into clear, practical explanations. Participants will gain hands-on insight through a live demonstration of AI-powered phishing detection, showing how models can classify real-world emails and support defensive security operations.

By the end of the session, attendees will understand not only what AI can do in cybersecurity, but how it actually works in practice to protect systems, data, and users.

Link to the Practical Lab Guide:

https://github.com/Micdejc/phishing_classification/blob/main/Phishing_detection_with_LLM_Lab.pdf

GitHub Repository (Practical Lab):

https://github.com/Micdejc/phishing_classification