Lab Description

As cyber threats become more advanced and frequent, relying on manual analysis is no longer sufficient for timely and accurate threat detection. Phishing, in particular, remains a highly effective attack vector that targets human vulnerabilities. This lab introduces an automated approach to enhance threat analysis capabilities.

You will build a phishing detection application using Python, integrating Streamlit for the interface and a local LLM via Ollama for intelligent analysis. By leveraging AI, you will automate the identification of phishing emails, reducing manual effort and improving detection accuracy. This hands-on experience demonstrates how modern AI tools can strengthen cybersecurity defenses.

What You Will Learn

Program Curriculum

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